Data Scientist

Position: Data Scientist / MLOps EngineerLocation: Houston, TX/Boston-MA (Hybrid)Employment: ContractJob Description:We are seeking a highly skilled Data Scientist / MLOps Engineer to design, develop, and deploy scalable AI‑driven applications on cloud environments. The ideal candidate will have strong hands‑on experience in Python, machine learning/AI frameworks, and AWS cloud services. Experience with Java and Terraform is a strong plus.Responsibilities: -Design, develop, and maintain Python‑based applications, data pipelines, and AI/ML solutions.Build, train, evaluate, and deploy machine learning and data science models for production use.Develop and integrate Generative AI solutions using AWS Bedrock, including foundation model selection, prompt engineering, and inference orchestration.Design and manage AWS cloud infrastructure using Terraform following IaC best practices.Build scalable AI/ML and GenAI deployment architectures using AWS services.Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data.Collaborate with cross‑functional teams to translate business and analytical requirements into technical solutions.Implement CI/CD pipelines, monitoring, logging, and performance optimization.Ensure security, compliance, governance, and cost optimization of cloud and AI workloads.Mentor junior engineers, conduct code reviews, and contribute to architectural decisions.Mandatory skillsPython: Design and deploy cloud‑native microservices and AI workloads using AWS services such as: SageMaker, Lambda, EC2, S3, Step Functions, DynamoDB, API Gateway, ECS/EKS Implement monitoring, logging, and automated deployment pipelines.Ensure best practices for cost optimization, reliability, and security