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 YearsAbout 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]