Data Scientist

Position: Data Scientist / MLOps Engineer Location: Houston, TX/Boston-MA (Hybrid) Employment: Contract Job 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 skills • Python: 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