Tata Consultancy Services
Python, ML, GenAI, VectorDB
Tata Consultancy Services, San Jose, California, United States, 95199
Must Have Technical/Functional Skills:
Primary Skill set:
Python, ML, GenAI, VectorDB are pre-requisites Strong data manipulation and analysis skills:
Ability to work with large datasets,including creating clones of datasets for reformatting, normalization, and manipulation while preserving original data integrity. Proficiency in machine learning and statistical modeling:
Experience running scalable machine learning algorithms, often using languages like Python, R, with capabilities to customize and tune models for large datasets, Data versioning and traceability:
Understanding of dataset versioning and traceability techniques, important in regulated industries, often implemented through snapshot technologies. Technical skills in programming and data science tools : Proficiency in R, SQL, and Python, along with experience in data visualization, text analytics, and model deployment. Analytical mindset and problem-solving skills : Ability to analyze complex data, identify patterns, and provide actionable insights. Communication and collaboration skills : Ability to work with cross-functional teams including IT administrators, business analysts, and stakeholders. Security and compliance awareness:
Understanding of data privacy, masking, and access controls to ensure secure handling of sensitive data Hands-on experience
with LLMs such as GPT, BERT, or similar transformer-based models. Knowledge of natural language processing (NLP) techniques and how to fine-tune, deploy, and evaluate LLMs for various business applications. Familiarity wi th frameworks and tools used for LLM development and deployment. Ability to integrate LLMs into data pipelines and AI workflows to enhance analytics and automation capabilities. Salary Range: $89,100-$140,000 a year#LI-CM2
Primary Skill set:
Python, ML, GenAI, VectorDB are pre-requisites Strong data manipulation and analysis skills:
Ability to work with large datasets,including creating clones of datasets for reformatting, normalization, and manipulation while preserving original data integrity. Proficiency in machine learning and statistical modeling:
Experience running scalable machine learning algorithms, often using languages like Python, R, with capabilities to customize and tune models for large datasets, Data versioning and traceability:
Understanding of dataset versioning and traceability techniques, important in regulated industries, often implemented through snapshot technologies. Technical skills in programming and data science tools : Proficiency in R, SQL, and Python, along with experience in data visualization, text analytics, and model deployment. Analytical mindset and problem-solving skills : Ability to analyze complex data, identify patterns, and provide actionable insights. Communication and collaboration skills : Ability to work with cross-functional teams including IT administrators, business analysts, and stakeholders. Security and compliance awareness:
Understanding of data privacy, masking, and access controls to ensure secure handling of sensitive data Hands-on experience
with LLMs such as GPT, BERT, or similar transformer-based models. Knowledge of natural language processing (NLP) techniques and how to fine-tune, deploy, and evaluate LLMs for various business applications. Familiarity wi th frameworks and tools used for LLM development and deployment. Ability to integrate LLMs into data pipelines and AI workflows to enhance analytics and automation capabilities. Salary Range: $89,100-$140,000 a year#LI-CM2