Hi, Hope you are doing good! Role: AI/ML Engineer Locations: Hybrid Reston Type of Hiring: Contract-W2 Job Description: • AI/ML Engineer • Architect and develop scalable machine learning pipelines using AWS services (e.g., SageMaker, Lambda, Step Functions). • Build and fine-tune LLM applications using Amazon Bedrock with foundational models such as Anthropic Claude, Meta LLaMA, and Amazon Titan. • Implement and optimize ML models in Python for performance, scalability, and reusability. • Integrate ML solutions into production environments using AWS-native tools and infrastructure-as-code practices. • Develop APIs and interfaces for AI services to interact with downstream applications. • Work closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. • Stay updated on the latest advancements in generative AI, foundation models, and cloud-native AI services. • Implement monitoring tools for model performance, data drift, and cost control in cloud environments. Required: • Bachelor’s or master’s degree in computer science, Engineering, Data Science, or related field. • 3 plus years of experience in machine learning engineering • Proficiency in Python, with hands-on experience using libraries such as PyTorch, TensorFlow, or Scikit-learn. • Deep understanding of AWS services, especially Amazon Bedrock, SageMaker, Lambda, CloudWatch, and S3. • Experience building and deploying machine learning models in production environments. • Familiarity with RESTful APIs, containers (Docker), and DevOps practices (CI/CD). • Experience working with foundation models and prompt engineering. Knowledge of MLOps best practices and tools such as MLflow, Kubeflow, or Amazon SageMaker Pipelines.