Kanak Elite Services
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
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 Process
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
Responsibilities
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.
Seniority level: Entry level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Software Development
#J-18808-Ljbffr
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
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 Process
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
Responsibilities
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.
Seniority level: Entry level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Software Development
#J-18808-Ljbffr