Top Data Science Jobs

We are seeking a talented and experienced Remote Lead AI Data Scientist to join our team on a part-time basis. Our company provides custom AI development services, and we need someone who is strong in Python and has experience working in a senior role at custom development agencies.

As a Lead AI Data Scientist, you will be responsible for developing and implementing custom AI solutions for our clients. This role requires someone with extensive experience in Python, and who has a solid background in custom development agencies. You will also be expected to work in a senior role and contribute to the overall success of the company.

Requirements:

2 years of machine learning engineering experience

3 years of AI data science experience

At least 1 year of management experience

Ability to work independently and meet deadlines

Strong communication and problem-solving skills

Additionally, you must be available for at least 10 hours per week with the possibility of more hours as projects come in.

Compensation: We offer a very high hourly compensation rate of $50/hour on a part-time basis.

If you meet these requirements and are interested in joining our team, please apply with your resume and relevant experience. Also, please include this phrase to your cover letter in order to be considered: "I meet your criteria". We look forward to hearing from you!

We are seeking a talented and experienced Remote AI Data Scientist to join our team on a part-time basis. Our company provides custom AI development services, and we need someone who is strong in Python and has experience working in a senior role at custom development agencies.

As an AI Data Scientist, you will be responsible for developing and implementing custom AI solutions for our clients. This role requires someone with extensive experience in Python, and who has a solid background in custom development agencies. You will also be expected to work in a senior role and contribute to the overall success of the company.

Requirements:

2 years of machine learning engineering experience

3 years of AI data science experience

At least 1 year of management experience

Ability to work independently and meet deadlines

Strong communication and problem-solving skills

Additionally, you must be available for at least 10 hours per week with the possibility of more hours as projects come in.

Compensation: We offer a very high hourly compensation rate of $44/hour on a part-time basis.

If you meet these requirements and are interested in joining our team, please apply with your resume and relevant experience. Also, please include this phrase to your cover letter in order to be considered: "I meet your criteria". We look forward to hearing from you!

I am looking to team up with a Data Science expert for a small project. I have arrival, departure, and attendance data for individuals and would like to create models that can predict future arrival and departure times, and attendance.

I am looking for an expert that I can consult for guidance on specific tools, technologies, and algorithms to create the needed model(s).

Overall, I am expecting this to take a few hours of consultation as video calls. Feel free to submit a fixed-cost proposal, if appropriate.

**Job Description: Data Scientist (Remote) at Collide Technology LLC**

Collide Technology LLC is a cutting-edge AI company specializing in Generative AI for manufacturing and enterprise. We empower businesses to leverage their internal domain-specific knowledge by providing tailored and customizable AI solutions for their industries. We are currently seeking a talented and proactive Data Scientist to join our remote team on a full-time basis.

**Responsibilities:**

- Apply your expertise in Machine Learning and Deep Learning to develop innovative AI projects across multiple industries.

- Collaborate with cross-functional teams to gather requirements and understand business needs.

- Conduct exploratory data analysis and data preprocessing to gain insights and ensure data quality.

- Independently and collaboratively develop end-to-end, full-stack machine learning projects, including data modeling, feature engineering, and model evaluation.

- Utilize your skills in deploying machine learning models using frameworks like Django or Flask for front-end integration.

- Process time-series data and demonstrate proficiency in Large Language Model fine-tuning techniques.

- Stay up-to-date with the latest advancements in AI, data science, and machine learning fields.

**Requirements:**

- Bachelor's or advanced degree (Masters or PhD) in Engineering, Computer Science, or related fields. However, significant relevant experience will be given greater consideration than academic background.

- At least 2 years of industrial experience applying Machine Learning and Deep Learning models in real-world projects.

- Proficiency in Python programming and popular data science libraries such as TensorFlow, PyTorch, or Scikit-learn.

- Strong problem-solving skills with the ability to analyze complex datasets and derive actionable insights.

- Experience in handling time-series data and working with Large Language Models.

- Demonstrated ability to work independently on end-to-end machine learning projects, as well as collaboratively in a team setting.

- Excellent communication skills, both verbal and written, to effectively convey technical concepts to diverse stakeholders.

- Knowledge of front-end frameworks like Django or Flask for model deployment is a plus.

- Self-motivated and able to thrive in a remote work environment.

If you are a highly skilled and motivated Data Scientist with a passion for AI and are eager to make a significant impact in the industry, we encourage you to apply. Join Collide Technology LLC, where you will be part of a dynamic team driving the forefront of AI innovation in manufacturing and enterprise.

We are a fast-growing strength & conditioning business looking to innovate our operations and enhance our service offerings by leveraging AI. We aim to use OpenAI's ChatGPT model to create an intelligent system to manage multiple aspects of our business.

We are seeking a talented and experienced Machine Learning expert who has hands-on experience with GPT models and the ability to apply this technology in innovative ways. You will be responsible for developing a comprehensive programming system that will be instrumental in streamlining our training programs, optimizing personalization, and improving client interaction.

Responsibilities:

Understand our current business processes and identify potential areas of improvement with AI/ML

Design, implement, and maintain machine learning models using GPT-4

Work with our team to integrate the developed models into our existing system

Test, refine, and enhance the model to ensure maximum accuracy and efficiency

Document the entire process for future reference and improvements

Required Skills and Qualifications:

Advanced degree in Computer Science, Data Science, AI/ML, or a related field.

Proficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch

Proven experience in developing, implementing, and maintaining GPT models

Strong understanding of NLP and Chatbot systems

Ability to translate business requirements into technical specifications

Exceptional problem-solving skills and attention to detail

Strong written and verbal communication skills in English

How to Apply:

To demonstrate your competency and evaluate your reading comprehension skills, please submit your application with the answers to the following questions:

Describe a project where you've successfully implemented a GPT model. How did it improve the operations or services of the business?

If you were to train a GPT model to understand the context of a strength & conditioning business, what would be the key elements you would focus on?

Write a paragraph summarizing the responsibilities of this role as per the job description above.

Successful candidates will be contacted for further discussions and potential interviews. We are looking forward to your application!

We are looking for someone with computational statistics/ML experience to help us create and implement custom algorithms. Most of our code is already written, but we need someone to come in and provide us an assessment of our data structures and advise of algorithms that would help us generate optimal pricing for our in-house projects (contract tech work here).

The contract would be a long term engagement and you would be help us add custom logics to our workflows.

Skills needed:

- Data science kills

- Skills with Python libraries (numpy, scipy, etc...)

- Programming experience

- ML skills (bonus)

We are looking to find someone immediately. If you are interested please get in touch with us.

We are looking for someone with computational statistics/ML experience to help us create and implement custom algorithms. Most of our code is already written, but we need someone to come in and provide us an assessment of our data structures and advise of algorithms that would help us generate optimal pricing for our in-house projects (contract tech work here).

The contract would be a long term engagement and you would be help us add custom logics to our workflows.

Skills needed:

- Data science kills

- Skills with Python libraries (numpy, scipy, etc...)

- Programming experience

- ML skills (bonus)

We are looking to find someone immediately. If you are interested please get in touch with us.

Looking for someone with Math skills in Linear algebra and specifically solving complex matrixs.

We are looking for a Sr. Data Engineer

Remote Work

Responsibilities:

•Design and build GCP data driven solutions to build data systems and pipelines

• Conduct complex data analysis and report on results

• Evaluate client business challenges and work with the team to ensure the best technology solutions

• Collaborate with clients to analyse business requirements and technical requirements

• Support existing GCP Data Management implementations

Required Skills:

• At least 4+ years of experience as a data engineer using Google Cloud Platform

• Technical expertise with data models, data mining, and segmentation techniques

• Experience supporting and working with cross-functional teams in a dynamic environment.

• Strong experience of Python and SQL

• Hands-on experience with BigQuery, Airflow

• Post-graduate in Computer Science, IT, or similar field

We are looking for a Data Scientist to help analyze and map the data between 2 data sources. One data source is in a CSV file and the other is in XML. Our aim is to have a script that we eventually run to map these data. These data are vehicle trip data. One data source is related to the start and end time of the trip and the other data source have various data ranging from fuel to distance and time

We are looking for a Data Scientist to help analyze and map the data between 2 data sources. One data source is in a CSV file and the other is in XML. Our aim is to have a script that we eventually run to map these data. These data are vehicle trip data. One data source is related to the start and end time of the trip and the other data source have various data ranging from fuel to distance and time

Job Overview:

We are seeking a highly knowledgeable and experienced Healthcare Subject Matter Expert (SME) to join our team. As a Healthcare SME, you will play a crucial role in providing domain expertise, medical insights, and model validation support for our data analytics and predictive modeling projects in the healthcare domain. The ideal candidate will have a strong background in healthcare, clinical workflows, medical terminologies, and data analysis. Your expertise will help ensure that our data-driven solutions align with best medical practices and regulatory requirements.

Responsibilities:

Domain Expertise: Act as the primary source of healthcare domain knowledge for the team, interpreting medical concepts, terminologies, and clinical workflows to guide data analytics and predictive modeling initiatives.

Model Validation: Collaborate with the data science team to validate predictive models developed for healthcare applications, ensuring that they align with medical guidelines and produce reliable outcomes.

Data Analysis Support: Provide critical insights during data analysis to identify clinically relevant patterns, correlations, and potential confounding factors that could impact model performance or healthcare outcomes.

Medical Questions: Answer complex medical questions that arise during the course of data analysis and model development, supporting evidence-based decision-making.

Ethical Considerations: Ensure that all data analysis and model validation activities comply with ethical standards, patient privacy regulations (e.g., HIPAA), and other relevant healthcare data protection requirements.

Data Quality Assurance: Work with the data team to assess and verify the quality and accuracy of healthcare data used for modeling, identifying and addressing any issues that may affect model results.

Collaboration: Collaborate with data scientists, data engineers, and other cross-functional team members to develop comprehensive healthcare solutions and improve patient outcomes.

Regulatory Compliance: Stay informed about relevant healthcare regulations and guidelines (e.g., FDA regulations, clinical practice guidelines) to ensure model validation and data analytics adhere to the latest standards.

Research and Innovation: Stay abreast of emerging trends and advancements in healthcare data analytics, predictive modeling, and related technologies, bringing innovative ideas to the team.

Documentation: Document all domain-related decisions, validation methodologies, and medical insights for future reference and compliance purposes.

Requirements:

Medical Degree (MD) or an equivalent advanced degree in a healthcare-related field (e.g., Nursing, Pharmacy) A Ph.D. in a healthcare domain will be a plus.

Strong expertise in healthcare data analytics, medical terminology, clinical workflows, and health-related datasets (e.g., electronic health records, medical imaging data).

Proven experience in model validation and the ability to critically assess and validate predictive models used in healthcare applications.

In-depth knowledge of healthcare regulations, ethics, and patient privacy requirements, especially in the context of data analysis and predictive modeling.

Familiarity with statistical analysis methods and tools commonly used in healthcare research and data analytics.

Excellent communication skills, with the ability to effectively explain complex medical concepts to both technical and non-technical stakeholders.

Strong problem-solving skills and the ability to provide evidence-based recommendations to optimize model performance and healthcare outcomes.

Collaborative mindset and the ability to work effectively in cross-functional teams.

Experience with healthcare research, clinical trials, or evidence-based medicine will be advantageous.

Knowledge of data analysis tools (e.g., Python, R) and data visualization techniques is a plus.

Join our team as a Healthcare SME, and make a significant impact by bringing your domain expertise to enhance data-driven solutions that improve healthcare delivery and patient outcomes.

About Growthink:

Growthink Consulting provides market research, strategic and business plan consulting, and implementation advice and services to companies and organizations of all types and sizes.

Growthink Capital, our wholly owned FINRA / SIPC broker-dealer investment bank - raises capital and executes upon business sale, merger, and acquisition transactions for emerging and middle market companies.

Role Overview:

We're seeking a talented AI Specialist. This individual will work on an hourly contract basis closely with our small project teams, assisting clients in the lower middle market to leverage Artificial Intelligence applications and technology to achieve their strategic business goals.

In this contract role, you will need to seamlessly embed within project teams and work in close collaboration with both internal stakeholders and external clients. This is an excellent opportunity for someone who enjoys variety in their work, has a solid understanding of AI applications, and possesses basic programming skills.

This would be a great role for a computer science student looking to get exposure and experience with a wide variety of verticals and client types.

Responsibilities:

- Act as an AI subject matter expert within project teams, providing insights and solutions based on the unique needs of the client.

- Guide the integration of AI applications and processes within clients' business strategies.

- Conduct technical feasibility studies and solution reviews.

- Develop, design, and execute small-scale programming tasks as required.

- Facilitate communication between business stakeholders and technical teams.

- Support the team with your deep understanding of AI technology trends and advancements.

Qualifications:

- Degree in Computer Science, Engineering, Data Science, or a related field.

- Proven experience in applying AI technologies to business solutions, particularly for lower middle market companies.

- Strong understanding of various AI technologies, tools, and applications.

- Basic programming skills in languages such as Python, R, or Java.

- Excellent problem-solving abilities and a client-focused mindset.

- Strong communication skills with the ability to translate complex technical concepts into understandable language for clients and non-technical team members.

Preferred Skills, Experience, and Education:

•Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derived/analytic data.

• Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing.

• Highly competent with relational database design and structured query language (SQL).

• Strong familiarity with data management tools, including enterprise repository tools, data modeling tools, data quality tools, data mapping tools, and data profiling tools.

• Solid understanding of Business Intelligence and Data Warehouse technologies (e.g., Business Objects, Netezza, Oracle, SQL Server, Informatica) Hands on experience a plus.

• Strong aptitude to learn business processes/products and the role of data within the business domain.

• Experience architecting data modernization efforts using Snowflake on Cloud (AWS/Azure)

• Strong conceptual knowledge of roles and responsibilities within BI and Data Warehousing (DA, ETL, BI, DBA, SE, QA, and PM).

• Working knowledge of Agile SDLC.

• Must be a recognized leader of data advocacy.

• Demonstrated ability to balance architectural theory with practical solutions.

• Ability to adapt quickly in a rapidly changing dynamic environment

• Ability to manage a large workload covering multiple projects and business disciplines.

• Ability to work well with people from many different disciplines with varying degrees of technical experience.

• Financial Industry experience a plus.

• Highly refined communication skills including facilitation, presentation, and documentation.

• Excellent organizational skills and results oriented.

• Execute the tactical goals for the Cards vision, Reports view, Network analytics and align the long term deliverables to the strategic goals.

• Create the solution architecture for the Debit and Credit data migration and UI reporting.

• Document the data architecture and application environment to maintain a current and accurate view of the larger data picture.

• Establish end to end vision on how the data from the legacy systems translate into the enterprise data warehouse solution.

• Establish processes for governing the identification, collection, and integration of the corporate metadata, and build solutions to assure metadata accuracy and validity.

• Assess and determine governance, stewardship, and frameworks for managing the data across the various portfolios, Credit, Debit and Risk

• Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement.

• Collaborate with project managers, business leaders and other stakeholders involving enterprise data.

• Minimum 5+ years of experience in designing and documenting conceptual, logical and physical data models, data dictionaries, entity-relationship diagrams, and metadata management in traditional relational database technologies including SQL, Oracle, or DB2.

• Minimum 3+ years of experience with BI tools, Cognos, Business Objects, Tableau etc.

• Bachelor’s Degree Computer Science, Data Science, or Engineering

• 10+ years’ experience leading highly technical resources, either directly or indirectly

• Strong background with Data engineering, Data warehouse, Data Intelligence (data mining, analytics and metrics) and API delivery.

• Experience effectively communicating with clients, vendors, teams, and senior leadership.

• Experience leading remote and offshore development teams.

• Excellent verbal and written communication skills.

We are seeking a talented and highly motivated Data Analysis Specialist to join our team. The successful candidate will play a crucial role in configuring, training, and maintaining our AI models to ensure optimal performance and accuracy. This individual will work closely with our data science and engineering teams to extract insights from data, fine-tune algorithms, and ensure the seamless operation of AI models across various projects.

Responsibilities:

•Configure AI models to align with project objectives and business needs.

• Train AI models using advanced machine learning and deep learning frameworks.

• Maintain and fine-tune models for optimal performance and accuracy.

• Perform in-depth data analysis to uncover insights and patterns.

• Collaborate with cross-functional teams to integrate AI models into applications.

• Stay updated on the latest AI advancements and propose innovative approaches.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related fields.

• Proven experience in data analysis, machine learning, and deep learning techniques.

• Hands-on experience with popular machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Solid understanding of data preprocessing, feature engineering, and model evaluation.

• Familiarity with cloud platforms and distributed computing for AI model training and deployment is a plus.

• Strong analytical and problem-solving skills with a keen eye for detail.

This role offers an exciting opportunity to work on cutting-edge AI projects and contribute to the success of our organization. If you are passionate about data analysis, machine learning, and AI, we encourage you to apply and join our dynamic team.

We are seeking a highly experienced Cloudera Platform Expert to join our team. The ideal candidate should have a minimum of 3 years of hands-on experience in the Cloudera Platform, with a strong understanding and working knowledge of a majority of the following skills and technologies:

Apache (Flume, Hadoop, HBase, Hive, Impala, Kafka, Spark, Sqoop, ZooKeeper, NiFi)

HDFS (Hadoop Distributed File System)

HUE (Hadoop User Experience)

Pyspark

Parquet-format

Spark Streaming

Python

Scala

CDSW (Cloudera Data Science Workbench)

Machine Learning

Responsibilities:

- Monitor the end-to-end application integration flow and provide support to the team with daily job status monitoring and troubleshooting.

- Utilize strong communication, analytical, and problem-solving skills to effectively address any issues that arise.

- Demonstrate expertise in monitoring source system integrations and coordinating efforts to identify and resolve source-related issues.

- Analyze and debug issues raised in the production system, replicating them in development and QA environments to identify root causes.

- Proactively identify potential issues and provide quick resolutions to minimize impacts on the production system.

- Collaborate in requirement gathering, development testing, and deployment of changes requested by customers as part of the support process.

- Contribute to automating processes wherever possible to enhance support activities.

Requirements:

- A minimum of 3 years of hands-on experience in the Cloudera Platform, showcasing progressive growth in expertise.

- Solid understanding and working knowledge of Apache technologies, HDFS, HUE, Pyspark, Parquet-format, Spark Streaming, Python, Scala, CDSW, and Machine Learning.

- Proficient in monitoring application integration flows and supporting daily operations in an on-call support model.

- Strong communication skills to effectively collaborate with team members and stakeholders.

- Analytical mindset and problem-solving capabilities to identify and address complex issues.

- Willingness to work in a regular and on-call support model and eagerness to learn new technologies when required.

This is an exciting opportunity to join our team and contribute to the success of our organization's data platform. If you are a seasoned Cloudera Platform Expert with a solid understanding of the mentioned technologies, we look forward to reviewing your application. Please submit your updated resume highlighting your relevant experience and any notable achievements in the Cloudera ecosystem.

Looking for a Tableau expert that can help data science / business intelligence team how to build data visualizations. Data science team has math, statistics, and programming experience. They are competent with Python and excel but looking to gain expertise in Tableau. Working financial and operational data from SQL database.

Our company is 2-sided marketplace in the tech travel space. A mix of Expedia, Bookings.com, Uber, Lyft, AirBnB, Opentable.

Create a user friendly AI adaption, from a consultant the required skills would need Node Js app development, API integrations, perhaps data science if not data manipulation. Note, an NDA is required, upon receipt, project details will be discussed further.

The Data Analytics Coach/Mentor is responsible for instructing and guiding individuals or teams in understanding, using, and applying data analytics tools and methodologies in a bid to up-skill them for the AI & Data job market . The coach should have a robust understanding of data analytics principles and practices, as well as the ability to impart these skills to others in an understandable and engaging way.

Primary Responsibilities:

- Provide coaching and mentoring to individuals or teams on various data analytics methodologies and tools.

- Facilitate interactive sessions to help teams comprehend the usage and benefits of data analytics in solving business problems.

- Identify the learning needs of individuals or teams and tailor coaching sessions accordingly.

- Provide hands-on training on data analytics tools like R, Python, SQL, Tableau, PowerBI, etc.

- Keep abreast of the latest developments and trends in the field of data analytics and incorporate them into the training curriculum.

- Work closely with management to understand their analytics needs and incorporate them into coaching sessions.

- Monitor the progress of individuals or teams and provide constructive feedback to help them improve.

- Share best practices and real-world examples to enhance the understanding and application of data analytics concepts.

Required:

- A bachelor's degree in Data Science, Computer Science, Statistics, or a related field. A master's degree is preferred.

- A minimum of 3-5 years of experience in data analytics.

- Proficient in data analytics tools such as Python, R, SQL, Tableau, PowerBI, etc.

- Experience in training or coaching individuals or teams.

- Excellent communication and interpersonal skills.

- Ability to translate complex data analytics concepts into understandable terms.

- Solid understanding of statistical techniques, data mining, machine learning algorithms, and big data concepts.

I am looking for an agency who is best in class within generative AI, LLM, Deep Learning and Data Science, who can build a SAAS tool to generate specialist content and integrate with several APIs

We have a non-technical brief for a new AI SEO & content tool and we would like to work with an agency who purely specialises in development around AI tools. The tool will link into several APIs to bring in data as well as Chat GPT-4 and this data must be organised and logic built to achieve a desired outcome.

The desired agency must have senior experts in machine learning, Data science and AI and must have a proven track record of delivering large SAAS platforms.

The tool will pull data from APIs, have access to Chat GPT4 as well as leveraging its own database of content that is stored.

The tool will be built to allow users to generate general blog type content as well as specialist content in say travel or automotive.

Are you seeking a skilled and innovative data scientist to unlock the potential hidden within your datasets? Look no further! As an accomplished freelance data scientist, I offer my expertise to help individuals like you extract meaningful insights, drive data-based decisions, and enhance business strategies.

What I Offer:

1. Data Analysis and Interpretation:

I specialize in dissecting complex datasets, identifying trends, patterns, and outliers that hold valuable insights. Whether it's structured or unstructured data, I possess the analytical tools to unravel its story.

2. Machine Learning Expertise:

Utilizing advanced machine learning techniques, I can develop predictive models, classification algorithms, and clustering analyses to provide you with actionable predictions and recommendations.

3. Data Visualization:

Transforming raw data into comprehensible visualizations is crucial for effective communication. I am skilled in using tools like Python libraries, Tableau, and Power BI to create visually appealing and informative charts, graphs, and dashboards.

4. Feature Engineering and Selection:

I can identify the most relevant features from your data, ensuring that the models I build are both accurate and efficient, leading to more reliable outcomes.

5. Statistical Analysis:

Whether it's hypothesis testing, A/B testing, or regression analysis, I have a strong foundation in statistics to validate findings and support decision-making.

6. Data Cleaning and Preprocessing:

High-quality analysis begins with clean and properly formatted data. I excel in data cleaning, transformation, and preprocessing to ensure accurate results.

Why Choose Me:

1. Expertise and Experience:

With a proven track record in data science, I bring [X years] of experience and a portfolio of successful projects across various industries.

2. Custom Solutions:

I understand that each project is unique. I tailor my approach to suit your specific needs, ensuring that the solutions provided align with your goals.

3. Effective Communication:

Clear communication is key. I maintain transparent and regular communication throughout the project, ensuring you're informed about progress every step of the way.

4. Timely Delivery:

I am committed to meeting deadlines without compromising the quality of work. Your project's success is my priority.

5. Data Privacy:

Rest assured, your data's security and confidentiality are of utmost importance to me. I adhere to strict ethical standards when handling sensitive information.

Let's Collaborate:

Whether you're a startup, entrepreneur, or individual seeking data-driven insights, I am here to help you harness the power of data. Let's collaborate to turn your data into a strategic asset that drives growth and success. Contact me today to discuss your project and how I can contribute to your journey towards data-driven excellence.

We are seeking an experienced AI Content Developer with a strong background in developing creative AI content tools. The successful candidate will have experience working with artificial intelligence, machine learning, and natural language processing technologies. You will be responsible for developing, enhancing, and maintaining our AI-driven content generation tools.

Responsibilities:

Design and implement AI content tools to generate creative content.

Leverage machine learning and natural language processing to improve content quality and generation efficiency.

Work closely with data scientists to understand and implement models and algorithms.

Design and implement APIs for integrating AI content tools with other software.

Continuously test, troubleshoot, and optimize AI models to improve performance.

Collaborate with the product team to understand and implement feature developments.

Stay current with new trends and advancements in AI and machine learning.

Requirements:

Proven experience as an AI Content Developer or similar role.

Experience in Python, TensorFlow, PyTorch, or similar machine learning frameworks.

Knowledge of NLP techniques and language models like GPT-3 or BERT.

Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

Strong understanding of machine learning concepts, AI modeling, and neural networks.

Good problem-solving skills and ability to work independently.

Excellent communication skills to effectively collaborate with the team.

Degree in Computer Science, Machine Learning, Artificial Intelligence, or a similar field.

Nice-to-have Skills:

Experience with big data tools like Hadoop, Spark, or Kafka.

Familiarity with machine learning deployment tools like Kubeflow or Seldon.

Prior experience in developing creative AI tools, such as AI-based content generation or design tools.

If you believe that your skills and expertise align with the requirements of this position, please send us your CV for review. Additionally, if you have a portfolio or examples of previous work, we would be interested in seeing them. We are eager to assess your qualifications and establish a cooperative relationship as soon as possible.

We look forward to hearing from you.

We are seeking a highly skilled and motivated Process Automation Specialist to join our dynamic team. As a Process Automation Specialist, you will play a crucial role in optimizing and streamlining various business processes through the implementation of cutting-edge automation technologies. Your expertise will help enhance efficiency, reduce manual errors, and accelerate productivity across different departments within the organization. The ideal candidate will possess a strong background in process analysis, automation design, and implementation, coupled with exceptional problem-solving and communication skills.

Responsibilities:

Process Analysis and Identification: Collaborate with stakeholders from different departments to identify and assess processes suitable for automation. Analyze existing workflows to understand their intricacies, inefficiencies, and potential areas for automation.

Automation Solution Design: Develop comprehensive automation solutions, leveraging the appropriate tools and technologies, including Robotic Process Automation (RPA), Business Process Management (BPM) software, Artificial Intelligence (AI), Machine Learning (ML), and other relevant automation platforms.

Process Mapping and Documentation: Create detailed process maps, flowcharts, and documentation to illustrate current and future states of automated processes. Ensure that all process steps, inputs, outputs, and dependencies are accurately documented.

Automation Implementation: Lead the implementation of automation projects from start to finish, coordinating with cross-functional teams. Configure automation software and develop custom scripts or code to automate processes effectively.

Testing and Quality Assurance: Conduct rigorous testing of automation solutions to ensure their accuracy, reliability, and adherence to business requirements. Identify and resolve any issues or errors during the testing phase.

Continuous Improvement: Regularly monitor and evaluate the performance of automated processes. Identify areas for improvement and optimize automation solutions to enhance overall efficiency.

Training and Support: Provide training and guidance to end-users on how to operate and interact with automated processes. Offer ongoing support and troubleshooting assistance as needed.

Security and Compliance: Ensure that automation solutions adhere to data security and compliance standards. Implement necessary safeguards to protect sensitive information.

Stay Abreast of Technology Trends: Keep up-to-date with the latest advancements in process automation technologies and industry best practices. Recommend innovative solutions to enhance process automation capabilities.

Requirements:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Relevant certifications in process automation technologies are a plus.

Proven experience as a Process Automation Specialist, Process Analyst, or similar role, with a successful track record of implementing automation solutions.

Proficiency in automation tools and technologies.

Strong analytical and problem-solving skills, with the ability to understand complex processes and translate them into automated workflows.

Excellent project management abilities, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously.

Exceptional communication and interpersonal skills, capable of collaborating effectively with diverse teams and stakeholders.

Solid understanding of data security, privacy, and compliance considerations related to process automation.

A keen eye for detail and a passion for delivering high-quality results.

Continuous learning mindset, with a desire to stay updated on emerging technologies and industry trends.

Join our team and help us revolutionize our organization through process automation, driving efficiency, and empowering our employees to focus on value-adding activities. Apply now to be part of our innovative journey!

We are seeking a skilled Data Analyst to join our dynamic team. As a Data Analyst, your expertise in data manipulation, statistical analysis and data visualization will be critical in identifying trends, patterns and opportunities that drive business growth.

Responsibilities:

- Gather data from various sources, ensuring data quality and accuracy through rigorous data cleaning and preprocessing.

- Utilize statistical techniques and advanced analytics tools to extract valuable insights from complex datasets, providing actionable recommendations to stakeholders.

- Create compelling visualizations and dashboards to effectively communicate analytical findings, making data accessible and easily interpretable for non-technical audience.

- Analyze trends and patterns within the data to identify opportunities for process improvement, efficiency gains and business optimization.

- Prepare and present clear and concise reports on analysis results, conveying findings to team members and management to support informed decision-making.

- Collaborate with cross-functional teams to define analytical requirements, address data-related challenges, and work together to drive data-centric solutions.

- Ensure data integrity and security, adhere to data governance policies and implement appropriate measures to safeguard sensitive information.

- Stay up-to-date with industry trends, best practices and emerging technologies in data analysis to enhance the team's capabilities.

Requirements:

- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.

- Proven experience in data analysis, statistical modeling and data visualization tools (e.g., Python, R, SQL, Excel, Tableau, Power BI).

- Strong analytical and problem solving skills with the ability to draw insights from complex data sets.

- Proficiency in data manipulation and data wrangling techniques.

- Excellent communication skills, both written and verbal.

- Ability to work independently, manage multiple projects and meet deadlines in a fast-paced environment.

- Strong attention to detail and a passion for working with data to uncover meaningful insights.

Join our team and play a pivotal role in shaping our data-driven strategies to achieve business excellence and drive innovation!