Jobs via Dice
Senior AI/ML Engineer Lead (AWS & Generative AI)
Jobs via Dice, Nashua, New Hampshire, us, 03062
We are hiring: Senior AI/ML Engineer Lead (AWS & Generative AI)
Location: Nashua, NH (Hybrid 3 Days a Week)
Experience Level: 10-15 Years
Overview
CCube is seeking a highly skilled Senior AI/ML Engineer with deep expertise in AWS AI/ML services and 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. Role 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 Retrieval-Augmented Generation (RAG) 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 the provided contact. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development
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CCube is seeking a highly skilled Senior AI/ML Engineer with deep expertise in AWS AI/ML services and 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. Role 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 Retrieval-Augmented Generation (RAG) 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 the provided contact. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development
#J-18808-Ljbffr