CCube Solutions
Senior AI/ML Engineer Lead - (AWS & Generative AI)
CCube Solutions, Nashua, New Hampshire, us, 03062
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 Generation)
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 : [email protected]
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 Generation)
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 : [email protected]