Senior Python AWS Developer – GenAI & Machine Learning

Senior Python AWS Developer – GenAI & Machine Learning (12+ Years Experience) Location: New Jersey / New York (Onsite | Local or open to relocate preferred) Employment Type: Full-Time (W2 Only) Work Authorization: H4 EAD, L2S, GC EAD, Green Card, US Citizen Job Description We are seeking a highly experienced Senior Python AWS Developer with strong expertise in Machine Learning and Generative AI to design, build, and deploy scalable, cloud-native AI solutions. The ideal candidate will have deep hands-on experience with Python, AWS services, ML pipelines, and GenAI frameworks, and will play a key role in architecting intelligent, production-grade systems in enterprise environments. Key Responsibilities • Design, develop, and deploy scalable applications using Python on AWS cloud. • Build and operationalize Machine Learning and Generative AI solutions for real-world business use cases. • Develop and manage ML pipelines, model training, evaluation, and deployment workflows. • Implement GenAI solutions using LLMs, embeddings, prompt engineering, and RAG architectures. • Leverage AWS services such as SageMaker, Lambda, EC2, S3, API Gateway, Bedrock. • Collaborate with Data Scientists, Architects, and Product teams to integrate AI capabilities. • Ensure performance, security, scalability, and cost optimization of AI solutions. • Implement CI/CD pipelines and automation for ML and application deployments. • Mentor junior engineers and contribute to architectural decisions. Required Technical Skills Programming & Frameworks: • 12+ years of experience in Python development • Strong hands-on experience with NumPy, Pandas, Scikit-learn • Experience with TensorFlow, PyTorch, or similar ML frameworks Generative AI & ML: • Hands-on experience with Generative AI models (LLMs) • Prompt engineering, embeddings, vector databases • RAG (Retrieval-Augmented Generation) architectures • Model evaluation, fine-tuning, and MLOps practices AWS Cloud: • AWS SageMaker, EC2, Lambda, S3, CloudWatch • API Gateway, IAM, Step Functions • AWS Bedrock (preferred) Data & DevOps: • SQL / NoSQL databases • CI/CD using Jenkins, GitHub Actions, or AWS DevOps tools • Docker, Kubernetes (EKS preferred) • Git, Agile/Scrum methodologies Preferred Qualifications • Experience with vector databases (Pinecone, FAISS, OpenSearch, Chroma) • Exposure to NLP, Deep Learning, and AI model optimization • Knowledge of data engineering pipelines and ETL workflows • Strong communication, leadership, and stakeholder management skills • Domain experience in BFSI, Healthcare, Retail, or Enterprise SaaS Note (Strictly Enforced) No C2C submissions, consultancy resumes, or marketing profiles. Any such submission will result in immediate and permanent disqualification from all supported clients. How to Apply Qualified candidates are encouraged to share their latest resumes at: [email protected] Apply tot his job