Top Machine Learning Jobs

We are embarking on an ambitious initiative to develop a state-of-the-art medical model dedicated to advancing cancer treatment recommendations. Leveraging machine learning, artificial intelligence, and deep learning technologies, our objective is to create a solution that personalizes treatment based on intricate patient data, thereby maximizing efficacy.

Interested candidates are invited to submit a detailed proposal showcasing their approach toward the project's objectives, along with links or references to prior projects exemplifying their proficiency in the domain. This will aid us in understanding your vision and depth of expertise.

The project is anticipated to extend beyond six months.

Are you passionate about pushing the boundaries of artificial intelligence and natural language processing? Do you have a knack for developing innovative and imaginative applications using AI-powered language models? Join our dynamic team as a Creative AI Language Model Developer and help shape the future of how humans interact with technology.

Role and Responsibilities:

As a Creative AI Language Model Developer, you will be at the forefront of developing cutting-edge applications that leverage the power of AI-driven language models. You will collaborate with cross-functional teams to conceptualize, design, and implement projects that go beyond conventional uses of language AI. Your responsibilities will include:

Model Customization: Tailor and fine-tune existing AI language models to create innovative and creative applications, such as generating art, poetry, storytelling, and more.

Innovative Application Development: Brainstorm, design, and implement novel applications that utilize AI language models in unique and imaginative ways, while considering user experience and ethical implications.

Research and Experimentation: Stay up-to-date with the latest advancements in AI and NLP research. Experiment with new techniques and approaches to enhance the capabilities of language models and foster creative thinking.

Collaboration: Work closely with researchers, designers, and software engineers to bring your creative ideas to life. Collaborate on interdisciplinary projects to deliver groundbreaking solutions.

Ethical Considerations: Ensure that all AI applications developed adhere to ethical guidelines and best practices, particularly when dealing with potentially sensitive content.

Problem Solving: Identify challenges in current AI language models and develop solutions to address limitations or improve performance, fostering a culture of continuous improvement.

Qualifications:

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. PhD is a plus.

Experience: Proven experience in developing and customizing AI language models. Strong understanding of NLP concepts, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python).

Creative Thinking: Demonstrated ability to think creatively and inventively, pushing the boundaries of conventional AI applications.

Innovation Mindset: Passion for exploring new technologies, techniques, and possibilities to create unique solutions.

Collaboration: Strong teamwork and communication skills, with the ability to work effectively in cross-functional teams.

Problem Solver: Proven track record of tackling complex technical challenges and finding innovative solutions.

Ethical Awareness: Understanding of ethical considerations in AI development, particularly in generating content that aligns with societal values.

Join us on a journey to redefine the possibilities of AI-driven creativity and pave the way for a new era of human-computer interaction.

If you're excited about blending technology and creativity, and you're ready to challenge the status quo of AI applications, we encourage you to apply and contribute to our vision of shaping the future with creative AI.

(Note: This job description is fictional and provided for illustrative purposes only. It should be customized and adapted to fit the specific needs and culture of your organization.)

Are you passionate about pushing the boundaries of artificial intelligence and natural language processing? Do you have a knack for developing innovative and imaginative applications using AI-powered language models? Join our dynamic team as a Creative AI Language Model Developer and help shape the future of how humans interact with technology.

Role and Responsibilities:

As a Creative AI Language Model Developer, you will be at the forefront of developing cutting-edge applications that leverage the power of AI-driven language models. You will collaborate with cross-functional teams to conceptualize, design, and implement projects that go beyond conventional uses of language AI. Your responsibilities will include:

Model Customization: Tailor and fine-tune existing AI language models to create innovative and creative applications, such as generating art, poetry, storytelling, and more.

Innovative Application Development: Brainstorm, design, and implement novel applications that utilize AI language models in unique and imaginative ways, while considering user experience and ethical implications.

Research and Experimentation: Stay up-to-date with the latest advancements in AI and NLP research. Experiment with new techniques and approaches to enhance the capabilities of language models and foster creative thinking.

Collaboration: Work closely with researchers, designers, and software engineers to bring your creative ideas to life. Collaborate on interdisciplinary projects to deliver groundbreaking solutions.

Ethical Considerations: Ensure that all AI applications developed adhere to ethical guidelines and best practices, particularly when dealing with potentially sensitive content.

Problem Solving: Identify challenges in current AI language models and develop solutions to address limitations or improve performance, fostering a culture of continuous improvement.

Qualifications:

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. PhD is a plus.

Experience: Proven experience in developing and customizing AI language models. Strong understanding of NLP concepts, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python).

Creative Thinking: Demonstrated ability to think creatively and inventively, pushing the boundaries of conventional AI applications.

Innovation Mindset: Passion for exploring new technologies, techniques, and possibilities to create unique solutions.

Collaboration: Strong teamwork and communication skills, with the ability to work effectively in cross-functional teams.

Problem Solver: Proven track record of tackling complex technical challenges and finding innovative solutions.

Ethical Awareness: Understanding of ethical considerations in AI development, particularly in generating content that aligns with societal values.

Join us on a journey to redefine the possibilities of AI-driven creativity and pave the way for a new era of human-computer interaction.

If you're excited about blending technology and creativity, and you're ready to challenge the status quo of AI applications, we encourage you to apply and contribute to our vision of shaping the future with creative AI.

(Note: This job description is fictional and provided for illustrative purposes only. It should be customized and adapted to fit the specific needs and culture of your organization.)

Hi

●Job Description:

・We are seeking a skilled Machine Learning Engineer with expertise in sequence modeling and deep learning.

・The project involves developing an intelligent system for predicting user behavior in a mobile application.

●Responsibilities:

・Develop and train a machine learning model to predict user actions based on historical sequence data.

・Implement data preprocessing steps to prepare data for training.

Work closely with the app development team to integrate the model into the existing codebase.

・Validate and test the model rigorously to ensure reliable performance.

・Adhere to all data privacy and security regulations.

●Requirements:

・Proficiency in Python, Keras/TensorFlow.

・Strong knowledge of sequence modeling (RNNs, LSTMs, GRUs, etc.).

・Familiarity with Android development and ADB is a plus.

・Solid understanding of data preprocessing and feature engineering.

・Ability to work independently and collaboratively in a team.

・Strict adherence to data privacy and security guidelines.

To apply, please submit your CV, a brief cover letter, and (if applicable) links to relevant projects you have worked on.

Note: This is a project-based position with potential for long-term collaboration.

We look forward to hearing from you!

We are looking for an experienced AI/ML architect, who has built AI/ML practices from scratch, and is updated with the latest trends in this field. We would love someone with a strong background in data science, machine learning, and artificial intelligence, with proficiency in programming languages commonly used in AI/ML, such as Python, R, or TensorFlow. Experience in building and deploying ML models in production environments, knowledge of cloud-based AI/ML services and platforms, and familiarity with big data technologies and data engineering, will be highly appreciated.

Ideally this is someone who can:

1. Design Solutions: Work with us to understand our business, our key problem statements, and the competitive landscape, to design end-to-end AI/ML solutions that align with business objectives.

2. Select the right Technology: Identify suitable AI/ML technologies, frameworks, and tools based on our specific requirements and constraints, considering factors such as data volume, complexity, and real-time processing needs.

3. Advise on Data Management: Help us choose the right data collection, storage, and preprocessing strategies.

4. Develop Models: Build Oversee the development of ML models, including selecting appropriate algorithms, feature engineering, and hyper parameter tuning

5. Design for Scalability and Performance: Architect systems that can scale to handle large volumes of data and provide efficient real-time predictions. Optimize AI/ML pipelines for speed and performance.

6. Take care of Integration: Integrate AI/ML components into existing software systems or applications, ensuring seamless functionality and compatibility.

7. Advise on Security, Privacy, Ethics and Fairness: Address security and privacy concerns related to AI/ML solutions. Protect sensitive data and implement security best practices. Ensure that AI/ML models adhere to ethical guidelines and promote fairness and transparency in decision-making.

8. Build Model Monitoring and Maintenance protocols: Establish monitoring mechanisms to track model performance over time and implement strategies for model retraining and maintenance.

Job Description:

We are seeking a skilled and experienced freelance Machine Learning Model Trainer to assist us in enhancing our product categorization process. The task involves training a machine learning model to accurately assign products to predefined categories. This project is ideal for individuals who have a solid understanding of machine learning techniques and a proven track record in successfully training models for classification tasks

Requirements:

- Proven experience in training machine learning models for classification tasks.

- Strong proficiency in programming languages commonly used for machine learning, particularly Python.

- Familiarity with popular machine learning libraries.

- Demonstrated ability to preprocess and analyze data effectively to ensure data quality.

- Detail-oriented mindset with the ability to troubleshoot and fine-tune models for improved performance.

- Effective communication skills to convey complex technical concepts.

We are looking for an Artificial Intelligence Specialist to join our team. The ideal candidate will have a strong background in AI and machine learning, with expertise in building and implementing AI models. This role will involve developing and enhancing AI algorithms, as well as analyzing and processing large datasets. The successful candidate will also be responsible for integrating AI solutions into existing systems and collaborating with cross-functional teams.

Skills required:

- Strong knowledge of AI and machine learning concepts

- Proficiency in programming languages such as Python or Java

- Experience with AI frameworks and libraries such as TensorFlow and PyTorch

- Familiarity with data preprocessing and visualization techniques

- Strong problem-solving and analytical skills

Hello,

We are looking for a deeply experienced ML developer who have worked with various GAN in the past, especially involved in human faces as well as image to image manipulation

Please don't forget to attached your sample work related to your GAN experienced before bidding.

We are looking for a long term commitment

Thank you!

We are looking for a talented and experienced Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for deploying and fine-tuning a LLAMA model based on the data set created. You will work closely with our data scientists and software engineers to develop and implement machine learning systems that can analyze large amounts of data and provide insights that can help our clients make better decisions.

Responsibilities:

Deploy and fine-tune a LLAMA model based on the data set created

Develop and implement machine learning systems that can analyze large amounts of data

Work closely with data scientists and software engineers to ensure the accuracy and reliability of the models

Collaborate with other teams to integrate machine learning models into our products

Stay up-to-date with the latest developments in machine learning and artificial intelligence

We are looking for a talented and experienced Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for deploying and fine-tuning a LLAMA model based on the data set created. You will work closely with our data scientists and software engineers to develop and implement machine learning systems that can analyze large amounts of data and provide insights that can help our clients make better decisions.

Responsibilities:

Deploy and fine-tune a LLAMA model based on the data set created

Develop and implement machine learning systems that can analyze large amounts of data

Work closely with data scientists and software engineers to ensure the accuracy and reliability of the models

Collaborate with other teams to integrate machine learning models into our products

Stay up-to-date with the latest developments in machine learning and artificial intelligence

We are looking for a machine learning engineer to partner on an initial pilot for a creative generative typography project. The goal is to train a model to generate stylized glyph designs in an automated way by learning from existing font data.

This is a contract to complete the first milestone demonstrating core feasibility. If successful, it may lead to an ongoing engagement on the project.

The outcome will be a basic implementation that can generate glyph images by sampling from a trained AI model. Your role will be:

•Sourcing/processing training data from open font libraries

• Training autoencoder and generative models (e.g. diffusion models) on this data

• Generating samples and evaluating quality with metrics

• Documenting approach, results and recommendations

This initial milestone is estimated at 70-100 hours but timing is flexible. The priority is demonstrating initial technical viability before iterating and refining further.

Ideal candidates will have strong Python skills and experience with generative models like autoencoders, GANs, diffusion models etc. Knowledge of typography is not required. This is an opportunity to showcase your ML skills in a creative domain!

Please share examples of related generative ML projects you've delivered end-to-end. Ongoing collaboration is possible if this pilot meets objectives.

We are looking for a machine learning engineer to partner on an initial pilot for a creative generative typography project. The goal is to train a model to generate stylized glyph designs in an automated way by learning from existing font data.

This is a contract to complete the first milestone demonstrating core feasibility. If successful, it may lead to an ongoing engagement on the project.

The outcome will be a basic implementation that can generate glyph images by sampling from a trained AI model. Your role will be:

•Sourcing/processing training data from open font libraries

• Training autoencoder and generative models (e.g. diffusion models) on this data

• Generating samples and evaluating quality with metrics

• Documenting approach, results and recommendations

This initial milestone is estimated at 70-100 hours but timing is flexible. The priority is demonstrating initial technical viability before iterating and refining further.

Ideal candidates will have strong Python skills and experience with generative models like autoencoders, GANs, diffusion models etc. Knowledge of typography is not required. This is an opportunity to showcase your ML skills in a creative domain!

Please share examples of related generative ML projects you've delivered end-to-end. Ongoing collaboration is possible if this pilot meets objectives.

We are working on an algorithm to match individuals into groups. We have specific data from individuals that we will use to match groups (both survey and free response).

This person will need to:

Get background on key concept, draft algorithm

Get feedback on algorithm

Develop algorithm that reflect the key concept

We’re looking for:

Experience - you’ve developed a matching algorithm before

Speed; we’d rather have a couple versions to react to and iterate, versus aiming for perfection first time

High professionalism and written communication skills

Ideally someone who has developed algorithms related to scheduling, matchmaking, edtech

We use Paperform to collect matching data and Airtable to match groups.

Looking to onboard someone ASAP, by EOD Friday, August 25th.

Please share a few examples of your work and I’ll reach out to schedule a quick intro call if we think there might be a fit.

We are working on an algorithm to match individuals into groups. We have specific data from individuals that we will use to match groups (both survey and free response).

This person will need to:

Get background on key concept, draft algorithm

Get feedback on algorithm

Develop algorithm that reflect the key concept

We’re looking for:

Experience - you’ve developed a matching algorithm before

Speed; we’d rather have a couple versions to react to and iterate, versus aiming for perfection first time

High professionalism and written communication skills

Ideally someone who has developed algorithms related to scheduling, matchmaking, edtech

We use Paperform to collect matching data and Airtable to match groups.

Looking to onboard someone ASAP, by EOD Friday, August 25th.

Please share a few examples of your work and I’ll reach out to schedule a quick intro call if we think there might be a fit.

Hi,

I've 20 recordings or so ( iPhone Voice Memo) from 5 minutes -- 168 hours in length, of mostly silence but also of hundreds and hundreds of dog barks.

Sometimes an airplane can be heard or a door, but mostly the audio is silent.

I am looking for analyze how many times a dog ( there are a few dogs) barks per 15 minute time period.

I had a fine person work on it, and he built a file and used Audacity to count 425 barks from 30 minutes or a 160 hour audio, but he could not get it to work on other audio files.

The audio files are not loud. The barking is a few hundred feet away.

I wonder if I should have switched on 'enhanced audio' before I moved them off my iPhone?

I'll attach a few samples.

If interested and you're confident you could build something that could work, please contact me.

My thinking is the output would show:

1) time and date of the audio

2) length of audio

3) how many barks every 15 minutes - xl? graph?

4) and once it works, I could 'run' the program with the audios.

The other fellow used: https://www.audacityteam.org

Here is a link to his output file:

https://drive.google.com/file/d/10M7bCP5IcwFYH3p_VEbxDnGpig1jmNv_/view?usp=share_linkThx.

Rob

Need statistics expert to help me complete machine learning algorithms problem with R/ python. Must know how to use laTex for print the result . Involved mathematics

As a leading fintech company, we are considering to apply AI solutions based on natural language processing (NLP) and machine learning (ML) to lending and collection processes.

We are aiming to develop a specialized module based on the use of AI \ ML technology to obtain a statistical model predicting behavior of a person who failed to repay debt. The model is going to be based on the semantic, emotional and linguistic analysis of communications with the debtor through various communication channels (extraction of psychological and behavioral data from text messages and voice conversations). The result of the model's work is automatic generation of a communication with the debtor, as a reaction to the previous communication (text-to-speech or message text generation). The optimization principle of the model is to encourage the debtor to repay the debt as soon as possible (OTIF criterion) on the basis of properly constructed communication.

About Us:

Pairy is a dynamic and innovative tech startup focused on revolutionizing the world of influencer marketing. Our app, built using Flutter and developed by a talented team in India, connects brands and influencers to create impactful partnerships. We're looking for a passionate and experienced Machine Learning Engineer to join our team and develop a cutting-edge matching system to enhance our platform.

Job Description:

As a Machine Learning Engineer at Pairy, you will play a crucial role in developing and implementing a state-of-the-art matching system that connects brands and influencers effectively. You will work closely with our development team and data scientists to create an intelligent recommendation engine using machine learning techniques.

Key Responsibilities:

Algorithm Development: Design, develop, and implement machine learning algorithms that can analyze user data, influencer profiles, and brand preferences to suggest ideal matches.

Data Collection and Preprocessing: Collaborate with data engineers to collect, clean, and preprocess large datasets for training and testing machine learning models.

Model Training: Train and fine-tune machine learning models, including recommendation algorithms, using appropriate frameworks and libraries.

Evaluation: Evaluate model performance using relevant metrics and iterate on model improvements.

Integration: Work closely with app developers to seamlessly integrate the matching system into the existing Flutter-based app.

Scaling: Ensure the matching system can scale with growing user and influencer databases.

Continuous Learning: Stay up-to-date with the latest advancements in machine learning and recommend relevant innovations to enhance the matching system.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.

Proven experience in machine learning, including recommendation systems and data analysis.

Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Experience with data preprocessing, feature engineering, and model evaluation.

Familiarity with app development using Flutter is a plus.

Strong problem-solving skills and ability to work independently.

Excellent communication skills and a collaborative mindset.

Strong analytical and critical-thinking abilities.

Prior experience in influencer marketing or a similar domain is a plus.

About Us:

Pairy is a dynamic and innovative tech startup focused on revolutionizing the world of influencer marketing. Our app, built using Flutter and developed by a talented team in India, connects brands and influencers to create impactful partnerships. We're looking for a passionate and experienced Machine Learning Engineer to join our team and develop a cutting-edge matching system to enhance our platform.

Job Description:

As a Machine Learning Engineer at Pairy, you will play a crucial role in developing and implementing a state-of-the-art matching system that connects brands and influencers effectively. You will work closely with our development team and data scientists to create an intelligent recommendation engine using machine learning techniques.

Key Responsibilities:

Algorithm Development: Design, develop, and implement machine learning algorithms that can analyze user data, influencer profiles, and brand preferences to suggest ideal matches.

Data Collection and Preprocessing: Collaborate with data engineers to collect, clean, and preprocess large datasets for training and testing machine learning models.

Model Training: Train and fine-tune machine learning models, including recommendation algorithms, using appropriate frameworks and libraries.

Evaluation: Evaluate model performance using relevant metrics and iterate on model improvements.

Integration: Work closely with app developers to seamlessly integrate the matching system into the existing Flutter-based app.

Scaling: Ensure the matching system can scale with growing user and influencer databases.

Continuous Learning: Stay up-to-date with the latest advancements in machine learning and recommend relevant innovations to enhance the matching system.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.

Proven experience in machine learning, including recommendation systems and data analysis.

Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Experience with data preprocessing, feature engineering, and model evaluation.

Familiarity with app development using Flutter is a plus.

Strong problem-solving skills and ability to work independently.

Excellent communication skills and a collaborative mindset.

Strong analytical and critical-thinking abilities.

Prior experience in influencer marketing or a similar domain is a plus.

Looking for an analyst on a part-time/full-time basis who can work many hours a week depending on availability and skillset.

You will be required to log on remotely to complete certain tasks. A time tracker is required

MUST HAVE HIGH-SPEED INTERNET CONNECTION and at least 16GB Of RAM on the computer. Microsoft PowerBI installed or Tableau

MUST BE WILLING TO VALIDATE WORK, it is not enough to write a formula and hope for the best

Looking for an experienced data analyst

Examples of tasks:

• Design, develop, and maintain Power BI / Tableau reports and dashboards to meet business requirements.

• Utilize DAX, M-Code, and Tableua for complex data manipulations, calculations, and transformations.

• Implement dimensional data modeling and design methodologies to support business processes and data structures

• Identify, troubleshoot, and resolve issues impacting the accuracy and delivery of reports.

• -Create wireframes

• -create storyboards

• -Documentation/SOPS/user guides

• -Finding insights and drawing conclusions

• -Formatting (visually appealing)

-Other tools

• -Creating Power Automate Workflows

• -Report Builder Reports

• -PowerApps

• Tableau

NOT LOOKING FOR A DEVELOPER THAT JUST FOLLOWS ORDERS looking for someone that can provide solutions. That can teach me not the other way around.

40% of the time is spent analyzing data. It is not enough to create a measure or show a chart must dig into the data. What is the data telling us? these fields are blank is this ok? so many nulls is this right? etc.

40% asking the right questions in order to comprehend and create the business intelligence report. being innovative and condensing disparate pieces of data into actionable insights or succinct reports for senior executives. Proficient with PowerBI, Mcode, and DAX

20 % documentation to help translate business requirements to technical requirements

-Use current and emerging Statistics, Machine Learning and Data Science methods

Innovate new analytic solutions that serve unmet customer needs

-Communicate analytical results clearly and succinctly-

-Work closely with me to make value-added analytical services available to stakeholders

-Be creative, collaborative in nature, and a self-starter

Must have:

PowerBI

SQL

Preferred

Python/ML

Adobe

We are seeking a highly skilled and experienced Technical Manager / Problem Solver to join our Generative Content Team.

Responsibilities:

1. Data Extraction, Analysis, and Manipulation: Use python and other tools to extract and prep datasets from disparate sources to provide foundations for new content generation.

2. Scalable Process and System Development: This includes developing reusable libraries and APIs, building robust production systems that meet quality and time SLAs, as well as proper dev. foundations for the team.

3. Model usage and development: Leverage off-the-shelf solutions like LLMs and other models, or work to build and deploy our own custom models to help generate content and other related elements.

4. Collaborative Communication: Effectively communicate complex technical concepts to both technical and non-technical team members, fostering a collaborative and inclusive working environment.

5. Self-Starting Approach: Demonstrate a proactive and self-motivated attitude, taking the initiative to solve problems and drive projects forward independently.

6. Full Development Lifecycle: Exhibit a broad understanding of the entire development lifecycle, from project conception to deployment, ensuring the successful execution of projects.

7. Learning and Adaptability: Show a willingness to learn and stay up-to-date with the latest technologies and advancements in the data and machine learning field, applying this knowledge to enhance team efficiency.

Requirements:

1. Proven Experience: A minimum of 5-10 years of experience working as a Data and Machine Learning Developer, with a track record of successfully delivering impactful projects.

2. Python Proficiency: Strong programming skills in Python, with experience in using data analysis libraries and machine learning frameworks.

3. Product and System Design Mindset.

4. Data Expertise: Demonstrated experience in working with and manipulating datasets, building data pipelines, scraping technologies, and preparing data for machine learning tasks.

5. Communication Skills: Excellent communication and interpersonal abilities to effectively convey complex technical concepts to diverse audiences.

6. Self-Motivated: A proactive and self-starting approach, with the ability to independently drive projects and find innovative solutions.

7. Full Development Lifecycle Exposure: Broad exposure to the entire development lifecycle, from ideation to deployment and maintenance.

8. Learning and Adaptability

We are seeking a highly skilled and experienced Technical Manager / Problem Solver to join our Generative Content Team.

Responsibilities:

1. Data Extraction, Analysis, and Manipulation: Use python and other tools to extract and prep datasets from disparate sources to provide foundations for new content generation.

2. Scalable Process and System Development: This includes developing reusable libraries and APIs, building robust production systems that meet quality and time SLAs, as well as proper dev. foundations for the team.

3. Model usage and development: Leverage off-the-shelf solutions like LLMs and other models, or work to build and deploy our own custom models to help generate content and other related elements.

4. Collaborative Communication: Effectively communicate complex technical concepts to both technical and non-technical team members, fostering a collaborative and inclusive working environment.

5. Self-Starting Approach: Demonstrate a proactive and self-motivated attitude, taking the initiative to solve problems and drive projects forward independently.

6. Full Development Lifecycle: Exhibit a broad understanding of the entire development lifecycle, from project conception to deployment, ensuring the successful execution of projects.

7. Learning and Adaptability: Show a willingness to learn and stay up-to-date with the latest technologies and advancements in the data and machine learning field, applying this knowledge to enhance team efficiency.

Requirements:

1. Proven Experience: A minimum of 5-10 years of experience working as a Data and Machine Learning Developer, with a track record of successfully delivering impactful projects.

2. Python Proficiency: Strong programming skills in Python, with experience in using data analysis libraries and machine learning frameworks.

3. Product and System Design Mindset.

4. Data Expertise: Demonstrated experience in working with and manipulating datasets, building data pipelines, scraping technologies, and preparing data for machine learning tasks.

5. Communication Skills: Excellent communication and interpersonal abilities to effectively convey complex technical concepts to diverse audiences.

6. Self-Motivated: A proactive and self-starting approach, with the ability to independently drive projects and find innovative solutions.

7. Full Development Lifecycle Exposure: Broad exposure to the entire development lifecycle, from ideation to deployment and maintenance.

8. Learning and Adaptability

Need to have:

Strong Python & C++

Proficiency in Computer Vision and Machine Learning algorithms

Experience with deep learning frameworks

Experience in Neural Networks training

Git

Desirable to have:

Experience with embedded devices (Raspberry Pi, NVIDIA SoC's)

Experience in optimization for limited computation resources

Good Russian language - MUST !

Need to have:

Strong Python & C++

Proficiency in Computer Vision and Machine Learning algorithms

Experience with deep learning frameworks

Experience in Neural Networks training

Git

Desirable to have:

Experience with embedded devices (Raspberry Pi, NVIDIA SoC's)

Experience in optimization for limited computation resources

Good Russian language - MUST !