Hello There
My name is Himanshu Sharma and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Scientist with our esteemed client. If you are interested then please share your updated resume at .
Job Description
Position : Data Scientist with Generative AI (with AI ML and LLM not ML Ops)
Location : Seattle WA Onsite (as well as final in-person interview no exceptions) NEED LOCAL HERE
Duration : Twelve months contract will extend
Interview Will be:
- One tech round (including 45-60 minute GenAI coding challenge) - teams
- One round with the account manager team 5-10 mins culture fit
- One round with client teams culture fit
- Final meet and greet (not technically an interview) w the buyer onsite no exceptions
Description
-
- Build and deploy Generative AI solutions using Amazon Bedrock SageMaker and other AWS AI/ML services.
- Evaluate and integrate foundation models (Claude Titan Mistral LLaMA etc.) available in Bedrock for enterprise use cases (chatbots summarization RAG etc.).
- Fine-tune and prompt engineer large language models (LLMs) for domain-specific needs.
- Work on GenAI pipelines: data preprocessing prompt tuning retrieval augmentation (RAG) and model evaluation.
- Optimize cost and performance of GenAI workloads in the AWS ecosystem.
- Collaborate with product and data teams to design AI-driven applications.
Hello There My name is Himanshu Sharma and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Scientist with our esteemed client. If you are interested then please share your updated resume at . Job Description Positio...
Hello There
My name is Himanshu Sharma and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Scientist with our esteemed client. If you are interested then please share your updated resume at .
Job Description
Position : Data Scientist with Generative AI (with AI ML and LLM not ML Ops)
Location : Seattle WA Onsite (as well as final in-person interview no exceptions) NEED LOCAL HERE
Duration : Twelve months contract will extend
Interview Will be:
- One tech round (including 45-60 minute GenAI coding challenge) - teams
- One round with the account manager team 5-10 mins culture fit
- One round with client teams culture fit
- Final meet and greet (not technically an interview) w the buyer onsite no exceptions
Description
-
- Build and deploy Generative AI solutions using Amazon Bedrock SageMaker and other AWS AI/ML services.
- Evaluate and integrate foundation models (Claude Titan Mistral LLaMA etc.) available in Bedrock for enterprise use cases (chatbots summarization RAG etc.).
- Fine-tune and prompt engineer large language models (LLMs) for domain-specific needs.
- Work on GenAI pipelines: data preprocessing prompt tuning retrieval augmentation (RAG) and model evaluation.
- Optimize cost and performance of GenAI workloads in the AWS ecosystem.
- Collaborate with product and data teams to design AI-driven applications.
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