Junior AI/ML Engineer
Role overview
We are seeking a highly motivated AI/ML Engineer with experience in designing, developing, and deploying Generative AI and Machine Learning solutions. The ideal candidate should possess strong expertise in Python, LLMs, RAG architectures, LangChain/LangGraph, PySpark, Airflow, and cloud technologies, along with hands-on experience building scalable AI-powered applications and data pipelines.
Basic qualifications
- Qualifications: BACHELOR OF COMPUTER SCIENCE
Preferred qualifications
- NLP and Transformer Architectures
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Model Context Protocol (MCP)
- Frameworks like LangChain, LangGraph
- Python, SQL
- Exposure to Cloud Platforms(Azure/AWS)
- Exposure to Modern Data platforms (Databricks, Snowflake)
Benefits
- check_circle Discretionary Annual Incentive.
- check_circle Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- check_circle Family Support: Maternal & Parental Leaves.
- check_circle Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- check_circle Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- check_circle Time Off: Vacation, Time Off, Sick Leave & Holidays.
- check_circle Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Tags & Focus Areas
About Tata Consultancy Services (TCS)
Programming Languages & Ecosystems Mathematical & Statistical Concepts Machine Learning & Deep Learning Data Wrangling & Database Management Data Visualization & Storytelling Cloud Platforms & Services Big Data Technologies Natural Language Processing (NLP) MLOps (Machine Learning Operations) & Software Engineering Practices Data Governance & Ethics Experimentation & A/B Testing Locations: San Jose-CA, RTP-NC, Austin-TX, Dallas-TX.