AI/ML Engineer - Python &amp

Core Responsibilities

• Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
• Build and maintain cloud native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
• Develop high performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real time analytics.
• Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM powered automation (chatbots, summarization, semantic search, anomaly detection).
• Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure as code (Terraform/CloudFormation) for reliable, automated deployments.
• Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.

Requirements

Experience with Python and AWS is required. Familiarity with Generative AI, Generative Language Models (LLM), and related technologies is preferred. Strong understanding of machine learning concepts, data pipelines, and cloud computing principles is essential.

Qualifications

Master's degree in Computer Science, Engineering, Mathematics, or a related field. 3+ years of relevant work experience in AI/ML, Generative AI, or similar fields. Proficiency in Python, Docker, Kubernetes, and Terraform. Experience with AWS services like Lambda, S3, and SageMaker is highly desirable.

Skills

• Python programming
• AWS services (Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, Bedrock)
• Cloud native development
• MLOps and MLOps tooling (CI/CD, Terraform, CloudFormation)
• Generative AI and Generative Language Models (LLM)
• Data pipelines and real-time analytics
• Model training, evaluation, and optimization
• Automation and orchestration (RAG pipelines, embeddings, vector databases)

Benefits

Competitive compensation package, professional development opportunities, flexible working hours, and a supportive team environment.

Pay

Competitive salary based on experience and qualifications.

Schedule

Fulltime/Contract Onsite: 5 Days Onsite

Contact

Rachael IT Services | Development | Staffing
URL: http://www.sidramtech.com
Email: rachael@sidramtech.com
Direct: 470-523-9688