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Hello

Hope you are doing well.

Position: AI/ML/GenAI Engineer

Location: Austin, TX/Cupertino, CA/Sunnyvale, CA (Onsite)

Duration: 12 Months

Client: TCS

***ONLY LOCALS****

Role Description:              

Experience: 10+ Years is Must

Essential Skills and Role:

• Complete Hands-on Experience in Python programming, along with experience with popular AI/ML frameworks such as Tensorflow, Pytorch, scikit-learn, LangChain and Llamaindex.
• Strong background in Machine learning models building and implementation.
• Hands on experience in developing AI/ML/GenAI solutions using AWS services such as SageMaker.
• Experience with search algorithms , indexing techniques, summarization, and retrieval models for effective information retrieval tasks.
• Hands on Experience with RAG architecture and its applications in natural language processing tasks.
• Good Exposure to Agentic / Multi agent framework.
• Hands on Experience in End-to-End development of machine learning and deep learning techniques, like predictive modeling, applied machine learning, natural language processing.
• Expertise in data engineering such as preprocessing and cleaning large datasets efficiently using python, PySpark, and other manipulation tools like Pandas and NumPy.
• Experience with techniques such as data normalization, feature engineering and data generation.
• Experience with cloud computing principles and experience in deploying, scaling, and monitoring AI/ML/GenAI solutions on cloud platforms like AWS.
• Deploy and monitor ML solutions using AWS services such as Lambda, API gateway, and ECS and monitor their performance using CloudWatch.
• Experience with docker and containerization.
• Able to communicate complex technical; concepts effectively to technical and non-technical stakeholders and collaborate with cross-functional teams.
• Must Have: A master’s degree in computer science and engineering
• Minimum of 14 years of IT experience.
• Minimum of 7 experience as an ML engineer / data Scientist.
• Hands on experience using python and APIs like flask/Django/FastAPI
• Hands on experience with tools such as LangChain, llamaidnex, streamline.
• Hands on experience with semi structured and unstructured data.
• Must have implemented a use case using LLMs
• Must have implemented a use case using prompt engineering and fine-tuning of LLMs using LoRA/ PEFT.
• Must have implemented a use case using RAG architecture. Multi-agent framework is an added advantage.

Thanks & Regards

KumaraSwamy

iTech US, Inc

Email is the best way to reach me.