Job description
In person Interview - Face to Face.
Job Title:AI / ML Engineer
Location: Noida
Experience range : 5- 10 years
Walk In Drive Date : 20th Jun (Saturday)
Walk In Drive Time : 09:30 AM 2:00 PM
Venue:
TCS - Noida
TCS Yamuna Park, Plot No. 20 & 21, Building B2, 4th to 7th Floor, Seaview Developers SEZ, Sector 135, Noida - 201304, Uttar Pradesh.
Things to carry for interview:
1. TCS Registration No. (Mandatory)
2. Completed TCS Application Form (Mandatory)
3. PAN Card (Original - Both Hard & Soft Copy)(Mandatory)
4. Aadhaar Card (Original - Both Hard & Soft Copy)(Mandatory)
Eligibility Criteria:
Minimum 15 years of regular education (10th + 12th + 3 years graduation or Diploma of 3 years (Fulltime only))
Only Full Time courses would be considered.
Job description
Job description
Experience in AI projects with deployment of AI based projects in production. ? Good Understanding of Agentic AI, and Agentic Frameworks (LangGraph, LangChain) ? Knowledge and Experience of working with Large Language Models, RAG, Transformers etc ? Develop sophisticated ML models to create new data samples, patterns, or content based on existing data or inputs ? Should have a working experience of AI/ML projects deployed in Production. ? Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP ? Proficiency with cloud development environments such as Azure Proficiency with experience in ML and NLP ? Comprehensive knowledge and experience of Azure/AWS services for AI/ML Projects (Databricks, AKS/EKS, ADF, Cognitive Services etc, Logic Apps, Power Automate etc.) ? Proven good grasp of using LLMs, Deploying LLMs Proficiency in libraries such as Hugging face and OpenAI API ? Conduct model testing, validation, and optimization to enhance performance
- Proven experience in containerizing AI/ML projects. ? Proven experience in CI/CD pipelines and tools like GitHub Actions ? Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets ? Stay current with the latest advancements in generative AI technologies and practices ? Orchestration and management of containers in production environments for AI/ML projects ? Proven strategic thinking in systems capacity planning, hardware and software updates, and migration ? Solid programming skills in Python ? Solid background in programming languages such as Python, SQL, PySpark, Hive, Shell Scripting. ? Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI is a plus ? Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch ? Solid programming skills in Python, with experience in pandas, NumPy, and SQL ? Familiarity with AIML governance, ethics, and responsible AI practices ? Proven track record in resolving code vulnerabilities