Gen AI & Data Scientist

Tata Consultancy Services

22d ago

Job
Full-time
Senior Level
Data
IT & Cybersecurity
Titusville

AI generated summary

You need strong generative AI and Azure skills, proficiency in SQL and Python, experience with machine learning, data visualization tools, and excellent communication abilities.
You will design and deploy generative AI models, analyze datasets, collaborate on business requirements, and ensure data integrity while presenting insights to stakeholders.

Requirements

Extensive experience with generative AI technologies and frameworks (e.g., GPT, GANs, VAEs).
Proficiency with Azure cloud services, including Azure Machine Learning, Azure Data Factory, and Azure Databricks.
Strong analytical and problem-solving skills, with the ability to work with large datasets.
Familiarity with data visualization tools and techniques.
Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.
Experience with other cloud platforms and AI tools is a plus.
Experience with natural language processing (NLP) and computer vision.
Knowledge of Agile development methodologies.
Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD).
Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
Develop, validate, and deploy predictive models and machine learning algorithms.
Write efficient SQL queries to extract, manipulate, and analyze data from various databases.
Collaborate with business stakeholders to understand their requirements and translate them into analytical solutions.
Present findings and insights to stakeholders through clear and compelling data visualizations and reports.
Continuously explore and experiment with new data sources, tools, and techniques to improve analytical capabilities.
Think creatively to develop innovative solutions for complex business problems.
Work closely with data engineers to ensure data quality, integrity, and availability.
Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
Stay updated with the latest advancements in data science, machine learning, and analytics.
Strong proficiency in SQL for data extraction, manipulation, and analysis.
Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
Proficiency in programming languages such as Python or R.
Strong analytical and problem-solving skills, with the ability to think creatively and "out of the box."
Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Excellent communication and interpersonal skills, with the ability to present complex findings in a clear and concise manner.
Ability to work effectively both independently and as part of a team.

Responsibilities

Design, develop, and deploy generative AI models and solutions for data and analytics applications.
Fine-tune AI models to improve performance and accuracy based on specific business requirements.
Collaborate with data scientists and analysts to understand business requirements and translate them into technical specifications.
Implement and optimize AI models using Azure Machine Learning and other Azure cloud services.
Develop and maintain ETL processes to ensure efficient data ingestion, transformation, and integration.
Analyze large datasets to extract meaningful insights and support data-driven decision-making.
Ensure the scalability, performance, and reliability of AI models and solutions.
Stay updated with the latest advancements in generative AI and integrate relevant technologies and methodologies.
Create and maintain comprehensive documentation for AI models, processes, and solutions.
Work closely with cross-functional teams to drive AI initiatives and projects.
Implement and maintain security protocols to ensure data privacy and compliance with organizational standards.
Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
Develop, validate, and deploy predictive models and machine learning algorithms.
Write efficient SQL queries to extract, manipulate, and analyze data from various databases.
Collaborate with business stakeholders to understand their requirements and translate them into analytical solutions.
Present findings and insights to stakeholders through clear and compelling data visualizations and reports.
Continuously explore and experiment with new data sources, tools, and techniques to improve analytical capabilities.
Think creatively to develop innovative solutions for complex business problems.
Work closely with data engineers to ensure data quality, integrity, and availability.
Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
Stay updated with the latest advancements in data science, machine learning, and analytics.
Strong proficiency in SQL for data extraction, manipulation, and analysis.
Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
Proficiency in programming languages such as Python or R.
Strong analytical and problem-solving skills, with the ability to think creatively and "out of the box."
Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Excellent communication and interpersonal skills, with the ability to present complex findings in a clear and concise manner.
Ability to work effectively both independently and as part of a team.

FAQs

What qualifications are required for the Gen AI & Data Scientist position?

Candidates should have extensive experience in generative AI technologies, proficiency with Azure cloud services, and strong analytical and problem-solving skills. Familiarity with data visualization tools, natural language processing, and machine learning frameworks is also important.

What programming languages should a candidate be proficient in?

Candidates should have strong proficiency in programming languages such as Python or R.

What is the salary range for this position?

The salary range for the Gen AI & Data Scientist position is $100,000 to $130,000 a year.

What technologies will I be working with in this role?

You will work with generative AI frameworks such as GPT, GANs, and VAEs, as well as Azure Machine Learning, Azure Data Factory, and Azure Databricks.

Will I be required to collaborate with other teams?

Yes, collaboration with data scientists, analysts, data engineers, and business stakeholders is a crucial part of the role to drive AI initiatives and projects effectively.

Is experience with machine learning frameworks important for this job?

Yes, experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch is essential for developing, validating, and deploying predictive models and algorithms.

Are there opportunities for continuous learning in this role?

Yes, you will be encouraged to stay updated with the latest advancements in data science, machine learning, and analytics and to continuously explore new data sources, tools, and techniques.

Will I need to create documentation for my work?

Yes, maintaining comprehensive documentation for AI models, processes, and solutions is an important responsibility of this position.

Is familiarity with Agile development methodologies required?

Yes, knowledge of Agile development methodologies is preferable for this position.

Can I expect to work independently or will it be mostly team-based?

The role requires the ability to work effectively both independently and as part of a team.

Tata Consultancy Services

Consulting

Industry

10,001+

Employees

1968

Founded Year

Mission & Purpose

Tata Consultancy Services is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 56 years. Our consulting-led, cognitive powered, portfolio of business, technology and engineering services and solutions is delivered through our unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 601,000 of the world’s best-trained consultants in 55 countries.