ZipRecruiter
Senior AI/ML Engineer Lead - (AWS & Generative AI)
ZipRecruiter, Nashua, New Hampshire, us, 03062
Job DescriptionJob Description
We are Hiring: -
Senior AI/ML Engineer Lead – (AWS & Generative AI)
Location: Nashua, NH (Hybrid 3 Days a Week)
Full Time Only (GC & USC Only)
Experience Level-:
10-15 Years
About Us
At
ccube.com , we are on a mission to transform businesses with
innovative AI-powered solutions . We harness the potential of
Generative AI, Machine Learning, and AWS cloud services
to deliver scalable, secure, and impactful applications. Join us and be part of a dynamic team that values
innovation, collaboration, and continuous learning .
Role Overview
We are seeking a highly skilled
Senior AI/ML Engineer
with deep expertise in
AWS AI/ML services
and a strong understanding of
Generative AI using Amazon Bedrock . The ideal candidate will have hands-on experience building, deploying, and optimizing AI/ML models on AWS, integrating LLMs into real-world applications, and implementing scalable AI pipelines.
Key Responsibilities
Design, develop, and deploy AI/ML models on AWS using
SageMaker, Bedrock, and related services .
Build
LLM-based applications
and fine-tune models for domain-specific use cases.
Implement
RAG (Retrieval-Augmented )
pipelines with vector databases such as
OpenSearch, Pinecone, or FAISS .
Develop
production-ready ML pipelines
leveraging AWS services including
Lambda, Step Functions, S3, and DynamoDB .
Integrate ML models into real-world applications in collaboration with cross-functional teams.
Ensure AI solutions align with
best practices in security, compliance, and cost optimization .
Stay current with the latest advancements in
Generative AI, prompt engineering, and model optimization .
Required Skills & Experience
Strong expertise in
AWS AI/ML stack : SageMaker, Lambda, Step Functions, S3, DynamoDB, etc.
Proven experience with
Generative AI models
(GPT, Claude, Mistral, LLaMA, etc.) and
fine-tuning techniques .
Hands-on programming experience with
Python, TensorFlow, PyTorch, and Hugging Face .
Knowledge of
vector databases
and embedding models.
Experience in building
secure, scalable AI solutions on AWS .
Familiarity with
MLOps practices, CI/CD pipelines, and cloud automation .
Strong analytical and problem-solving skills with the ability to work in a
fast-paced environment .
Good to Have
Experience with
LangChain, Prompt Engineering, and RAG techniques .
Understanding of
data governance, AI ethics, and responsible AI practices .
AWS Certifications:
Machine Learning Specialty / Associate
or other relevant AI certifications.
Why Join ccube.com?
Opportunity to work on
cutting-edge AI and Generative AI projects .
Collaborative and
growth-driven work culture .
Continuous learning with
training and certification support .
Competitive compensation and benefits package.
Flexible work environment with a strong focus on
innovation and impact .
How to Apply: Interested candidates can send CV to
: rahul@ccube.com
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We are Hiring: -
Senior AI/ML Engineer Lead – (AWS & Generative AI)
Location: Nashua, NH (Hybrid 3 Days a Week)
Full Time Only (GC & USC Only)
Experience Level-:
10-15 Years
About Us
At
ccube.com , we are on a mission to transform businesses with
innovative AI-powered solutions . We harness the potential of
Generative AI, Machine Learning, and AWS cloud services
to deliver scalable, secure, and impactful applications. Join us and be part of a dynamic team that values
innovation, collaboration, and continuous learning .
Role Overview
We are seeking a highly skilled
Senior AI/ML Engineer
with deep expertise in
AWS AI/ML services
and a strong understanding of
Generative AI using Amazon Bedrock . The ideal candidate will have hands-on experience building, deploying, and optimizing AI/ML models on AWS, integrating LLMs into real-world applications, and implementing scalable AI pipelines.
Key Responsibilities
Design, develop, and deploy AI/ML models on AWS using
SageMaker, Bedrock, and related services .
Build
LLM-based applications
and fine-tune models for domain-specific use cases.
Implement
RAG (Retrieval-Augmented )
pipelines with vector databases such as
OpenSearch, Pinecone, or FAISS .
Develop
production-ready ML pipelines
leveraging AWS services including
Lambda, Step Functions, S3, and DynamoDB .
Integrate ML models into real-world applications in collaboration with cross-functional teams.
Ensure AI solutions align with
best practices in security, compliance, and cost optimization .
Stay current with the latest advancements in
Generative AI, prompt engineering, and model optimization .
Required Skills & Experience
Strong expertise in
AWS AI/ML stack : SageMaker, Lambda, Step Functions, S3, DynamoDB, etc.
Proven experience with
Generative AI models
(GPT, Claude, Mistral, LLaMA, etc.) and
fine-tuning techniques .
Hands-on programming experience with
Python, TensorFlow, PyTorch, and Hugging Face .
Knowledge of
vector databases
and embedding models.
Experience in building
secure, scalable AI solutions on AWS .
Familiarity with
MLOps practices, CI/CD pipelines, and cloud automation .
Strong analytical and problem-solving skills with the ability to work in a
fast-paced environment .
Good to Have
Experience with
LangChain, Prompt Engineering, and RAG techniques .
Understanding of
data governance, AI ethics, and responsible AI practices .
AWS Certifications:
Machine Learning Specialty / Associate
or other relevant AI certifications.
Why Join ccube.com?
Opportunity to work on
cutting-edge AI and Generative AI projects .
Collaborative and
growth-driven work culture .
Continuous learning with
training and certification support .
Competitive compensation and benefits package.
Flexible work environment with a strong focus on
innovation and impact .
How to Apply: Interested candidates can send CV to
: rahul@ccube.com
Powered by JazzHR
CizxV7Yk4s