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Hello this is Akash Anadure from Pune location, is currently doing the job in Q conneqt company Pune as an Executive role having 1+ years of experience. I am looking for a career opportunities in Data scientist role having skills like Python, SQL, R, Machine learning, Data Visualization, Tableau, Power bi, Excel etc.
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Hello this is Akash Anadure from Pune location, is currently doing the job in Q conneqt company Pune as an Executive role having 1+ years of experience. I am looking for a career opportunities in Data scientist role having skills like Python, SQL, R, Machine learning, Data Visualization, Tableau, Power bi, Excel etc.
This job is already closed and no longer accepting applicants, sorry.
We are a dynamic and forward-thinking company looking to revolutionize our customer service experience. To achieve this, we are seeking a skilled and experienced developer to build a cutting-edge GPT-4 chatbot using Langchain technology.
Responsibilities:
Collaborate with our team to understand our customer service requirements and objectives.
Develop a powerful and user-friendly GPT-4 chatbot that can handle various customer queries and provide accurate responses.
Implement Langchain technology to enhance the chatbot's natural language understanding and improve its responses over time.
Integrate the chatbot seamlessly with our existing customer service systems and platforms.
Conduct thorough testing and debugging to ensure the chatbot's performance meets our quality standards.
Provide documentation and training for our customer service team to effectively utilize the chatbot.
Requirements:
Proven experience in developing GPT-4 chatbots with a strong understanding of Langchain technology.
Expertise in natural language processing (NLP) and machine learning algorithms.
Familiarity with customer service best practices and industry trends.
Proficiency in Python and other relevant programming languages.
Strong communication skills and the ability to work collaboratively with our team.
A portfolio showcasing previous successful chatbot projects will be highly regarded.
Additional Information:
This is a remote position, allowing flexibility in your working hours.
The project duration will be discussed and agreed upon during the interview process.
If you have any relevant certifications or achievements in the AI and NLP domain, please highlight them in your proposal.
Please include the phrase "GPT-4 Chatbot Expert" in your proposal to confirm that you have read and understood the job description thoroughly. We are eager to collaborate with an innovative developer who can take our customer service to new heights. Looking forward to receiving your proposals and finding the ideal candidate to bring our vision to life.
This job is already closed and no longer accepting applicants, sorry.
We are a dynamic and forward-thinking company looking to revolutionize our customer service experience. To achieve this, we are seeking a skilled and experienced developer to build a cutting-edge GPT-4 chatbot using Langchain technology.
Responsibilities:
Collaborate with our team to understand our customer service requirements and objectives.
Develop a powerful and user-friendly GPT-4 chatbot that can handle various customer queries and provide accurate responses.
Implement Langchain technology to enhance the chatbot's natural language understanding and improve its responses over time.
Integrate the chatbot seamlessly with our existing customer service systems and platforms.
Conduct thorough testing and debugging to ensure the chatbot's performance meets our quality standards.
Provide documentation and training for our customer service team to effectively utilize the chatbot.
Requirements:
Proven experience in developing GPT-4 chatbots with a strong understanding of Langchain technology.
Expertise in natural language processing (NLP) and machine learning algorithms.
Familiarity with customer service best practices and industry trends.
Proficiency in Python and other relevant programming languages.
Strong communication skills and the ability to work collaboratively with our team.
A portfolio showcasing previous successful chatbot projects will be highly regarded.
Additional Information:
This is a remote position, allowing flexibility in your working hours.
The project duration will be discussed and agreed upon during the interview process.
If you have any relevant certifications or achievements in the AI and NLP domain, please highlight them in your proposal.
Please include the phrase "GPT-4 Chatbot Expert" in your proposal to confirm that you have read and understood the job description thoroughly. We are eager to collaborate with an innovative developer who can take our customer service to new heights. Looking forward to receiving your proposals and finding the ideal candidate to bring our vision to life.
This job is already closed and no longer accepting applicants, sorry.
Project Description:
We require a talented individual to create an advanced text summarization model that can effectively summarize lengthy documents, proposals, research papers, and other extended texts. The ideal candidate should possess a strong background in natural language processing (NLP) and machine learning, along with extensive experience in developing and fine-tuning neural network models.
Key Deliverables:
Develop a state-of-the-art text summarization model that can handle lengthy documents, maintaining coherence and context in the summaries.
Implement the model in a user-friendly interface or API, allowing easy integration into our existing systems or applications.
Fine-tune and optimize the model using a diverse dataset to ensure accuracy, generalization, and robust performance across different domains.
Conduct rigorous testing and validation to measure the model's performance against various metrics, such as ROUGE and BLEU scores.
Provide comprehensive documentation detailing the model architecture, training process, and usage instructions.
Skills and Qualifications:
Proven expertise in natural language processing (NLP) and machine learning, particularly in text summarization and sequence-to-sequence models.
Proficiency in Python and popular libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
Strong understanding of deep learning architectures, attention mechanisms, and transformer-based models.
Experience with large-scale dataset preparation and pre-processing techniques for training NLP models.
Knowledge of evaluation metrics for text summarization and the ability to fine-tune models for optimal performance.
Ability to troubleshoot and debug code effectively and efficiently.
Excellent communication skills and the ability to collaborate with our team to refine project requirements and provide regular updates.
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Our team is seeking a highly skilled and experienced Data Scientist with a strong background in AutoML, Machine Learning, Artificial Intelligence, Performance Marketing, and Marketing Mix Modeling. This is an exciting long-term contract opportunity to become a key driver in our team and contribute significantly to the development of our decision intelligence platform.
As our Data Scientist, you will collaborate closely with our software development team, stakeholders, and external partners. You will be responsible for leveraging your expertise to analyze and interpret complex digital data, devise data-driven solutions, and inform decision-making processes. Your input will be instrumental in shaping our platform's features and functionalities.
To ensure we find the perfect fit for our team, we kindly ask all candidates to participate in a 30-45 minute consultation call (free of charge) with our team. During this call, we'll get to know each other better and discuss the specifics of the project and your potential role within our team.
Furthermore, as a part of the selection process, we will provide a scenario for you to complete with data. This test will allow us to assess your skills and ability to contribute to our project. Please note that this will be a paid test, and you will be compensated for your findings.
Responsibilities:
Collaborate with the software development team and stakeholders to drive the decision intelligence platform.
Develop and implement machine learning models, including automated machine learning (AutoML) models.
Contribute to Performance Marketing and Marketing Mix Modeling.
Leverage large datasets to discover patterns and derive insights that will inform business decisions.
Present and explain complex concepts to non-technical team members and stakeholders.
Qualifications:
Advanced degree in Data Science, Computer Science, Statistics, or a related field.
Proven experience in AutoML, Machine Learning, AI, Performance Marketing, and Marketing Mix Modeling.
Strong coding skills, particularly in Python and R.
Excellent communication and presentation skills.
Must be open and available for a long-term contract.
We look forward to reviewing your application!
This job is already closed and no longer accepting applicants, sorry.
Our team is seeking a highly skilled and experienced Data Scientist with a strong background in AutoML, Machine Learning, Artificial Intelligence, Performance Marketing, and Marketing Mix Modeling. This is an exciting long-term contract opportunity to become a key driver in our team and contribute significantly to the development of our decision intelligence platform.
As our Data Scientist, you will collaborate closely with our software development team, stakeholders, and external partners. You will be responsible for leveraging your expertise to analyze and interpret complex digital data, devise data-driven solutions, and inform decision-making processes. Your input will be instrumental in shaping our platform's features and functionalities.
To ensure we find the perfect fit for our team, we kindly ask all candidates to participate in a 30-45 minute consultation call (free of charge) with our team. During this call, we'll get to know each other better and discuss the specifics of the project and your potential role within our team.
Furthermore, as a part of the selection process, we will provide a scenario for you to complete with data. This test will allow us to assess your skills and ability to contribute to our project. Please note that this will be a paid test, and you will be compensated for your findings.
Responsibilities:
Collaborate with the software development team and stakeholders to drive the decision intelligence platform.
Develop and implement machine learning models, including automated machine learning (AutoML) models.
Contribute to Performance Marketing and Marketing Mix Modeling.
Leverage large datasets to discover patterns and derive insights that will inform business decisions.
Present and explain complex concepts to non-technical team members and stakeholders.
Qualifications:
Advanced degree in Data Science, Computer Science, Statistics, or a related field.
Proven experience in AutoML, Machine Learning, AI, Performance Marketing, and Marketing Mix Modeling.
Strong coding skills, particularly in Python and R.
Excellent communication and presentation skills.
Must be open and available for a long-term contract.
We look forward to reviewing your application!
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About the role ð
Weâre looking for a Senior Software Engineer for our Frontend team to help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, weâre seeking curiosity-driven engineers who are determined problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation and deploying cutting-edge computer vision and generative models to production.
A peek at our technical stack ð
The rich UI of our generative AI tools are powered by Typescript and React/Redux, while the real-time compositing and graphics engine behind our interactive preview runs on WebGL2 and WebAssembly. Our API endpoints for real-time collaboration and media asset management are written in Typescript and node.js and are deployed as serverless functions on AWS Lambda.
What youâll do ð¨
Create rich multimedia interfaces using the latest, cutting-edge AI video generation models: Gen-1 and Gen-2
Work with a world-class engineering team pushing the boundaries of creativity and content creation on the browser
Take on new challenges across the Frontend stack to implement new product features for Runwayâs machine learning-based generative AI tools
Improve the performance, reliability, and code quality of our codebases
What youâll need ð»
4+ years of industry experience in a software engineering role, ideally frontend focused
Demonstrated fluency in one or more programming languages, including but not limited to Javascript/Typescript
Experience in architecting production-ready systems and familiarity with debugging and profiling tools
Ability to rapidly prototype solutions and iterate on them with tight product deadlines
Humility and open-mindedness; at Runway we love to learn from one another
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Need to work on a python code with KNN and Random Forest models with the given data set.
Code debugging
Code Documentation
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We're an AI automation agency focusing on the beauty services industry. Currently, we're seeking a talented AI Developer for a freelance project, with the potential for long-term collaboration or even full-time engagement based on project success and agency needs.
**Responsibilities:**
1. Design and manage advanced AI systems, focusing on natural language processing, voice recognition and synthesis, and image generation.
2. Integrate our AI tools seamlessly with third-party platforms (Zapier, Botpress, Stack AI, etc.).
3. Use voice data to train AI models, ensuring a personalized and fluid customer experience.
4. Work collaboratively with our team to enhance the functionality and capabilities of our AI systems.
**Requirements:**
1. Solid experience in AI development, with a comprehensive understanding of machine learning, NLP, and generative models.
2. Proficiency with AI tools such as Botpress, Stack AI, Zapier, AI voice tools, and GPT-based AI.
3. Experience with generative AI image generation tools will be an advantage.
4. Excellent problem-solving skills and meticulous attention to detail.
5. Ability to adapt and thrive in a dynamic project environment.
6. Strong communication skills to enable effective team collaboration.
7. An interest in the beauty services industry is a plus.
This freelance role offers an opportunity to become a part of an exciting venture in the beauty services industry, with the potential to evolve into a long-term or full-time role. If you're passionate about AI and ready to push the boundaries of innovation, we'd love to hear from you.
This job is already closed and no longer accepting applicants, sorry.
We're an AI automation agency focusing on the beauty services industry. Currently, we're seeking a talented AI Developer for a freelance project, with the potential for long-term collaboration or even full-time engagement based on project success and agency needs.
**Responsibilities:**
1. Design and manage advanced AI systems, focusing on natural language processing, voice recognition and synthesis, and image generation.
2. Integrate our AI tools seamlessly with third-party platforms (Zapier, Botpress, Stack AI, etc.).
3. Use voice data to train AI models, ensuring a personalized and fluid customer experience.
4. Work collaboratively with our team to enhance the functionality and capabilities of our AI systems.
**Requirements:**
1. Solid experience in AI development, with a comprehensive understanding of machine learning, NLP, and generative models.
2. Proficiency with AI tools such as Botpress, Stack AI, Zapier, AI voice tools, and GPT-based AI.
3. Experience with generative AI image generation tools will be an advantage.
4. Excellent problem-solving skills and meticulous attention to detail.
5. Ability to adapt and thrive in a dynamic project environment.
6. Strong communication skills to enable effective team collaboration.
7. An interest in the beauty services industry is a plus.
This freelance role offers an opportunity to become a part of an exciting venture in the beauty services industry, with the potential to evolve into a long-term or full-time role. If you're passionate about AI and ready to push the boundaries of innovation, we'd love to hear from you.
This job is already closed and no longer accepting applicants, sorry.
Job Title: Data Analyst - State Department
Clearance Required: TS/SCI
Location: Washington, D.C.
Job Summary:
As a Data Analyst at the State Department, you will play a crucial role in leveraging data-driven insights to support strategic decision-making and enhance the department's operations. You will be responsible for analyzing complex datasets, developing statistical models, and providing actionable recommendations to address critical challenges faced by the State Department. Your work will contribute to shaping foreign policy, improving diplomatic efforts, and advancing global security.
Key Responsibilities:
1. Data Analysis: Utilize advanced analytics techniques to extract meaningful insights from diverse and complex datasets, including structured and unstructured data sources.
2. Statistical Modeling: Develop and apply statistical models, machine learning algorithms, and predictive analytics to solve complex problems and support evidence-based decision-making.
3. Data Visualization: Create visually compelling and intuitive dashboards, reports, and data visualizations to effectively communicate complex findings to stakeholders and senior leadership.
4. Policy Support: Collaborate with policy experts and stakeholders to identify data-driven solutions, provide analytical support, and inform policy development and implementation.
5. Data Mining and Cleaning: Identify relevant data sources, collect and preprocess data, perform data wrangling, and ensure data quality and integrity.
6. Collaborative Projects: Work closely with interdisciplinary teams, including diplomats, analysts, and subject matter experts, to address specific challenges and provide data-driven insights.
7. Research and Innovation: Stay up to date with the latest advancements in data science, emerging technologies, and best practices to enhance analytical capabilities within the State Department.
8. Ethical and Legal Compliance: Adhere to data privacy regulations, ensure data security, and maintain confidentiality in handling sensitive information.
Qualifications and Skills:
- A degree in Data Analytics/Science, Computer Science, Statistics, Applied Mathematics, or a related field.
- Proven experience as a Data Analyst, preferably in a government or international affairs setting.
- Proficiency in statistical analysis, machine learning techniques, and data visualization tools (e.g., Python, R, SQL, Tableau, Power BI, or similar).
- Strong problem-solving skills and the ability to translate complex data into actionable insights.
- Proficient in data manipulation, cleaning, and preprocessing techniques.
- Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
- Strong collaboration skills and the ability to work in a fast-paced, multidisciplinary environment.
- Understanding of international relations, foreign policy, or related fields is desirable.
Pangea Group International offers competitive compensation and benefits packages, including opportunities for professional growth and development. As a Data Analyst, you will have the chance to make a meaningful impact on U.S. foreign policy and contribute to global diplomacy.
Note: This job description is intended to provide a general overview of the position and may be subject to change based on the evolving needs of the State Department.
This job is already closed and no longer accepting applicants, sorry.
Job Title: Data Analyst - State Department
Clearance Required: TS/SCI
Location: Washington, D.C.
Job Summary:
As a Data Analyst at the State Department, you will play a crucial role in leveraging data-driven insights to support strategic decision-making and enhance the department's operations. You will be responsible for analyzing complex datasets, developing statistical models, and providing actionable recommendations to address critical challenges faced by the State Department. Your work will contribute to shaping foreign policy, improving diplomatic efforts, and advancing global security.
Key Responsibilities:
1. Data Analysis: Utilize advanced analytics techniques to extract meaningful insights from diverse and complex datasets, including structured and unstructured data sources.
2. Statistical Modeling: Develop and apply statistical models, machine learning algorithms, and predictive analytics to solve complex problems and support evidence-based decision-making.
3. Data Visualization: Create visually compelling and intuitive dashboards, reports, and data visualizations to effectively communicate complex findings to stakeholders and senior leadership.
4. Policy Support: Collaborate with policy experts and stakeholders to identify data-driven solutions, provide analytical support, and inform policy development and implementation.
5. Data Mining and Cleaning: Identify relevant data sources, collect and preprocess data, perform data wrangling, and ensure data quality and integrity.
6. Collaborative Projects: Work closely with interdisciplinary teams, including diplomats, analysts, and subject matter experts, to address specific challenges and provide data-driven insights.
7. Research and Innovation: Stay up to date with the latest advancements in data science, emerging technologies, and best practices to enhance analytical capabilities within the State Department.
8. Ethical and Legal Compliance: Adhere to data privacy regulations, ensure data security, and maintain confidentiality in handling sensitive information.
Qualifications and Skills:
- A degree in Data Analytics/Science, Computer Science, Statistics, Applied Mathematics, or a related field.
- Proven experience as a Data Analyst, preferably in a government or international affairs setting.
- Proficiency in statistical analysis, machine learning techniques, and data visualization tools (e.g., Python, R, SQL, Tableau, Power BI, or similar).
- Strong problem-solving skills and the ability to translate complex data into actionable insights.
- Proficient in data manipulation, cleaning, and preprocessing techniques.
- Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
- Strong collaboration skills and the ability to work in a fast-paced, multidisciplinary environment.
- Understanding of international relations, foreign policy, or related fields is desirable.
Pangea Group International offers competitive compensation and benefits packages, including opportunities for professional growth and development. As a Data Analyst, you will have the chance to make a meaningful impact on U.S. foreign policy and contribute to global diplomacy.
Note: This job description is intended to provide a general overview of the position and may be subject to change based on the evolving needs of the State Department.
This job is already closed and no longer accepting applicants, sorry.
We are looking for a skilled and motivated AI Language Model Developer to join our dynamic team. As an AI Language Model Developer, your primary responsibility will be to design, train, and improve our language models using state-of-the-art techniques and tools. Your expertise will play a crucial role in enhancing our existing language models and creating new, innovative solutions for a variety of applications.
Key responsibilities include:
Researching and staying up-to-date with the latest advancements in natural language processing (NLP) and machine learning.
Developing and implementing algorithms and architectures for language understanding, generation, and translation tasks.
Training and fine-tuning language models on diverse datasets to achieve optimal performance.
Collaborating with cross-functional teams to integrate language models into various software applications and platforms.
Conducting thorough evaluations and analysis to identify areas for improvement and fine-tuning models accordingly.
Ensuring the robustness, scalability, and efficiency of the developed language models.
Participating in code reviews, documenting research findings, and contributing to technical discussions.
Requirements:
A strong background in machine learning, deep learning, and NLP.
Proficiency in programming languages such as Python, TensorFlow, or PyTorch.
Experience in developing and training large-scale language models like GPT-3, BERT, or similar architectures.
Familiarity with data preprocessing, augmentation techniques, and model evaluation metrics.
Good understanding of attention mechanisms, transformers, and other relevant NLP concepts.
Strong problem-solving skills and the ability to think critically about model performance and limitations.
Excellent communication skills and the ability to work collaboratively in a team environment.
If you are passionate about AI and language processing, and you thrive in a challenging and innovative environment, we encourage you to apply. This is a unique opportunity to contribute to cutting-edge AI technologies and make a significant impact in the field of natural language understanding. Join us and be part of our exciting journey to revolutionize the way humans interact with machines through language!
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We are seeking a talented and experienced ML/AI Developer specializing in video analysis to join our dynamic team. As an ML/AI Developer, you will be responsible for developing and implementing cutting-edge machine learning and artificial intelligence algorithms for video analysis applications. Your work will directly contribute to enhancing our video analysis capabilities, enabling us to extract meaningful insights and drive actionable outcomes.
Requirements:
1. Strong background in ML/AI: Solid understanding of machine learning and deep learning algorithms, frameworks, and techniques. Experience with natural language processing and video analysis is highly desirable.
2. Programming proficiency: Proficiency in programming languages such as Python, C++, or Java. Experience with ML/AI frameworks like TensorFlow, PyTorch, or Keras is essential.
3. Data handling and preprocessing: Experience with handling and preprocessing video data, including techniques such as data augmentation, normalization, and feature extraction.
4. Model development and evaluation: Proven experience in developing and training ML/AI models, evaluating their performance, and fine-tuning them for optimal results. Knowledge of evaluation metrics and techniques for video analysis tasks is a plus.
5. Software engineering skills: Familiarity with software engineering best practices, version control systems (e.g., Git), and agile development methodologies. Experience with deploying ML/AI models in production systems is beneficial.
6. Strong problem-solving skills: Ability to analyze complex problems, propose innovative solutions, and implement them effectively. Strong analytical and critical thinking abilities are essential.
7. Communication and teamwork: Excellent verbal and written communication skills. Ability to collaborate effectively with cross-functional teams and explain complex concepts to both technical and non-technical stakeholders.
8. Education and experience: Bachelor's or master's degree in computer science, machine learning, artificial intelligence, or a related field. Proven experience in ML/AI development, preferably with a focus on video analysis, is highly desirable.
Note: Must be available to start immediately.
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We are seeking a talented and experienced ML/AI Developer specializing in video analysis to join our dynamic team. As an ML/AI Developer, you will be responsible for developing and implementing cutting-edge machine learning and artificial intelligence algorithms for video analysis applications. Your work will directly contribute to enhancing our video analysis capabilities, enabling us to extract meaningful insights and drive actionable outcomes.
Requirements:
1. Strong background in ML/AI: Solid understanding of machine learning and deep learning algorithms, frameworks, and techniques. Experience with natural language processing and video analysis is highly desirable.
2. Programming proficiency: Proficiency in programming languages such as Python, C++, or Java. Experience with ML/AI frameworks like TensorFlow, PyTorch, or Keras is essential.
3. Data handling and preprocessing: Experience with handling and preprocessing video data, including techniques such as data augmentation, normalization, and feature extraction.
4. Model development and evaluation: Proven experience in developing and training ML/AI models, evaluating their performance, and fine-tuning them for optimal results. Knowledge of evaluation metrics and techniques for video analysis tasks is a plus.
5. Software engineering skills: Familiarity with software engineering best practices, version control systems (e.g., Git), and agile development methodologies. Experience with deploying ML/AI models in production systems is beneficial.
6. Strong problem-solving skills: Ability to analyze complex problems, propose innovative solutions, and implement them effectively. Strong analytical and critical thinking abilities are essential.
7. Communication and teamwork: Excellent verbal and written communication skills. Ability to collaborate effectively with cross-functional teams and explain complex concepts to both technical and non-technical stakeholders.
8. Education and experience: Bachelor's or master's degree in computer science, machine learning, artificial intelligence, or a related field. Proven experience in ML/AI development, preferably with a focus on video analysis, is highly desirable.
Note: Must be available to start immediately.
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Hypergrowth is a dynamic and innovative technology company specializing in AI-powered solutions. We are on a mission to revolutionize customer interactions through cutting-edge chatbot development using Rasa X. As a team, we value creativity, collaboration, and continuous learning. Join us to be a part of a forward-thinking organization that's shaping the future of conversational AI.
Job Description:
We are seeking a skilled Rasa X Chatbot Developer to join our talented team and contribute to the design, development, and deployment of advanced chatbot applications. The ideal candidate should have a strong background in natural language processing, machine learning, and hands-on experience with Rasa X.
Responsibilities:
Collaborate with cross-functional teams to understand business requirements and design chatbot solutions that meet client needs.
Develop, train, and fine-tune chatbots using Rasa X framework.
Implement natural language understanding and processing components to improve chatbot accuracy and user experience.
Integrate chatbots with various platforms and channels, such as websites, social media, and messaging apps.
Analyze chatbot performance data, gather insights, and iterate on improvements to enhance conversational interactions.
Stay up-to-date with the latest advancements in AI, NLP, and chatbot development to apply best practices in the field.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience in developing and deploying chatbots using Rasa X or similar conversational AI frameworks.
Strong programming skills in Python and experience with relevant libraries for NLP and machine learning, such as NLTK, spaCy, scikit-learn, etc.
Solid understanding of natural language processing techniques, intent recognition, entity extraction, and dialogue management.
Familiarity with version control systems (e.g., Git) and CI/CD pipelines for seamless chatbot deployment.
Excellent problem-solving skills and the ability to debug and troubleshoot technical issues.
Strong communication skills and the ability to work effectively in a team environment.
Preferred Qualifications:
Experience with cloud-based services and deployment platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of Docker and containerization for scalable and portable deployments.
Prior experience with chatbot analytics and user behavior analysis.
Understanding of UX/UI design principles for chatbot interfaces.
How to Apply:
If you are passionate about the potential of conversational AI and have the skills to build intelligent chatbots using Rasa X, we'd love to hear from you!
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Looking for grants and research journal especially in the area of machine learning deep learning artificial intelligence and social networks analytics
Research journal should be of sci r web of science standards
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I am looking someone who can build my AI Trading Bot,AI trading software stands out with its advanced machine-learning capabilities. Its best feature is the ability to adapt and learn from market patterns, continuously refining and optimizing trading strategies. By leveraging AI algorithms, NinjaTrader empowers traders to make data-driven decisions, improving accuracy and potential profitability in dynamic market conditions.
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We are looking for a passionate and experienced Senior Machine Learning Engineer to join our team at Yofi. As a Senior Machine Learning Engineer, you will deploy and integrate core machine learning models and help scale out use cases for our core data products. You will work closely with our engineering and product teams to design and deploy scalable and robust machine learning solutions to solve complex business problems.
Responsibilities:
● Strong Leadership Skills to manage a team of very dedicated DE and ML engineers
● Deploy and integrate machine learning models for real-time predictions and decisioning.
● Collaborate with product and engineering teams to identify, prioritize and deliver
high-impact projects and features.
● Retrieve data from mongodb/nosql document store for real-time predictions.
● Retrieve data from the graph database for real-time reasoning over graphs and feature
aggregations for ml predictions.
● Collaborate with product and engineering teams to identify, prioritize and deliver
high-impact projects and features.
● Identify and evaluate emerging technologies that could enhance our machine learning
capabilities.
● Work with and support junior engineers, MLEs, and data scientists/analysts.
Requirements:
● Strong experience with machine learning algorithms, model design, evaluation, and
deployment.
● Experience with GCP, including Vertex AI, BigQuery, and Cloud Storage.
● Excellent programming skills in Python, SQL, and experience with Apache Spark.
● Experience with NoSQL databases, specifically MongoDB.
● Understanding of graph databases and graph schemas.
● Strong analytical skills and experience working with large datasets.
● Strong communication skills and the ability to communicate complex technical concepts
to non-technical stakeholders.
● Experience with git.
● Preference to work collaboratively as a part of a remote team.
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We are looking for a passionate and experienced Senior Machine Learning Engineer to join our team at Yofi. As a Senior Machine Learning Engineer, you will deploy and integrate core machine learning models and help scale out use cases for our core data products. You will work closely with our engineering and product teams to design and deploy scalable and robust machine learning solutions to solve complex business problems.
Responsibilities:
â Strong Leadership Skills to manage a team of very dedicated DE and ML engineers
â Deploy and integrate machine learning models for real-time predictions and decisioning.
â Collaborate with product and engineering teams to identify, prioritize and deliver
high-impact projects and features.
â Retrieve data from mongodb/nosql document store for real-time predictions.
â Retrieve data from the graph database for real-time reasoning over graphs and feature
aggregations for ml predictions.
â Collaborate with product and engineering teams to identify, prioritize and deliver
high-impact projects and features.
â Identify and evaluate emerging technologies that could enhance our machine learning
capabilities.
â Work with and support junior engineers, MLEs, and data scientists/analysts.
Requirements:
â Strong experience with machine learning algorithms, model design, evaluation, and
deployment.
â Experience with GCP, including Vertex AI, BigQuery, and Cloud Storage.
â Excellent programming skills in Python, SQL, and experience with Apache Spark.
â Experience with NoSQL databases, specifically MongoDB.
â Understanding of graph databases and graph schemas.
â Strong analytical skills and experience working with large datasets.
â Strong communication skills and the ability to communicate complex technical concepts
to non-technical stakeholders.
â Experience with git.
â Preference to work collaboratively as a part of a remote team.
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We are seeking a skilled Natural Language Processing Developer to join our team. The ideal candidate will have a strong understanding of NLP techniques and algorithms, along with the ability to build and implement models for processing natural language input. The main responsibility will be to design and develop systems that can accurately understand and respond to user queries. The developer should have experience with machine learning frameworks, such as TensorFlow or PyTorch, and be proficient in programming languages like Python. Strong problem-solving skills and attention to detail are essential for this role.
Relevant Skills:
- Natural Language Processing
- Machine Learning
- Algorithm Development
- Text Classification
- Sentiment Analysis
This job is already closed and no longer accepting applicants, sorry.
We are seeking a skilled Natural Language Processing Developer to join our team. The ideal candidate will have a strong understanding of NLP techniques and algorithms, along with the ability to build and implement models for processing natural language input. The main responsibility will be to design and develop systems that can accurately understand and respond to user queries. The developer should have experience with machine learning frameworks, such as TensorFlow or PyTorch, and be proficient in programming languages like Python. Strong problem-solving skills and attention to detail are essential for this role.
Relevant Skills:
- Natural Language Processing
- Machine Learning
- Algorithm Development
- Text Classification
- Sentiment Analysis
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Are you passionate about cutting-edge machine learning and artificial intelligence technologies? Do you have a deep understanding of TensorFlow and its applications in real-world scenarios? We are seeking a highly skilled and motivated TensorFlow Expert to join our dynamic and innovative team.
Job Overview:
As a TensorFlow Expert, you will play a pivotal role in advancing our organization's machine learning capabilities. Your primary responsibility will be to design, develop, and optimize TensorFlow-based models and algorithms to solve complex business problems. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to build scalable and efficient machine learning solutions.
Key Responsibilities:
Model Development: Design, implement, and fine-tune deep learning models using TensorFlow to address specific business challenges. These models may include various architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer models, etc.
Data Preprocessing: Clean, preprocess, and transform data to ensure its suitability for training machine learning models. This step may involve handling missing data, feature engineering, and data augmentation techniques.
Hyperparameter Tuning: Optimize model performance by fine-tuning hyperparameters, conducting experiments, and employing techniques like grid search or Bayesian optimization.
Model Deployment: Integrate TensorFlow models into production environments, ensuring scalability, reliability, and real-time performance. Collaborate with DevOps and software engineering teams to deploy models efficiently.
Model Evaluation: Implement and execute rigorous evaluation strategies to assess the performance of machine learning models. Analyze and interpret results to make data-driven decisions.
Research and Innovation: Stay up-to-date with the latest advancements in machine learning, deep learning, and TensorFlow-related technologies. Propose and explore new approaches to solve business challenges effectively.
Documentation: Create clear and comprehensive documentation for models, algorithms, and workflows, making it accessible to both technical and non-technical stakeholders.
Mentoring and Knowledge Sharing: Mentor junior members of the team, sharing your expertise in TensorFlow and best practices for machine learning development.
Requirements:
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related fields.
Proven hands-on experience with TensorFlow, building and deploying deep learning models for real-world applications.
Solid understanding of machine learning principles, neural networks, and various architectures.
Proficiency in programming languages such as Python and libraries commonly used in the machine learning ecosystem (NumPy, Pandas, etc.).
Familiarity with GPU acceleration and distributed computing for training large-scale models.
Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and management is a plus.
Strong problem-solving skills, analytical thinking, and attention to detail.
Excellent communication and teamwork abilities, with a passion for collaborating with cross-functional teams.
Join us in shaping the future of AI and machine learning with TensorFlow!
This job is already closed and no longer accepting applicants, sorry.
