Detailed Job Description:

Job Title: AI/Machine Learning Engineer

Success Metrics:

• Timely delivery of scalable, maintainable AI solutions.
• High system uptime, performance, and cost-efficiency of deployed workloads.
• Consistent adoption of best practices in CI/CD, monitoring, and version control.
• Positive stakeholder feedback and contribution to team documentation, learning, and innovation initiatives.ncy

Position Overview

• We are seeking an AI/Machine Learning Engineer to support enterprise AI transformation initiatives by designing, building, and deploying cloud-native, production-ready AI solutions.
• This role focuses on developing intelligent applications—ranging from GenAI and retrieval-augmented systems to data-driven automation workflows—using AWS-native services.
• The ideal candidate combines strong machine learning expertise with cloud engineering skills to deliver scalable, secure, and high-impact AI systems.

Key Responsibilities

• Design and implement end-to-end AI/Machine Learning solutions using GenAI, traditional Machine Learning, and data-driven models.

• Build and deploy RAG, multi-agent, and protocol-based AI systems in production environments.

• Integrate AI capabilities into applications using serverless and containerized AWS architectures.

• Fine-tune, optimize, and monitor models for performance, reliability, and scalability.

• Develop and maintain data pipelines for model training, inference, and monitoring.

• Architect and manage AI workloads on AWS, ensuring security, compliance, and cost efficiency.

• Build APIs, microservices, and CI/CD pipelines to support continuous delivery and observability.

• Collaborate with cross-functional teams in an agile environment and contribute to documentation and knowledge sharing.

Required Qualifications

• Bachelor’s degree in Computer Science, AI/Machine Learning, Data Engineering, or a related field (Master’s preferred).

• 3+ years of experience building and deploying AI/Machine Learning applications in production.

• 2+ years of hands-on experience with AWS-based architectures (serverless, microservices, CI/CD).

• Strong experience with both GenAI and traditional Machine Learning techniques in real-world use cases.

• Proficiency in Python and experience with modern AI/Machine Learning frameworks.

Technical Skills

• AI/Machine Learning: PyTorch, TensorFlow, LangChain, LlamaIndex, or similar frameworks

• Cloud & Infrastructure: AWS SageMaker, Bedrock, Lambda, ECS/Fargate, API Gateway, Glue, S3

• DevOps: Docker, Git, CI/CD pipelines, Infrastructure as Code (CloudFormation)

• Data: SQL/NoSQL databases, vector databases, AWS data services

Preferred Attributes

• Strong foundation in data engineering and production-grade AI system design.

• Excellent problem-solving, communication, and debugging skills.

• Passion for applying AI to improve outcomes and operational efficiency.

• Commitment to ethical AI, data privacy, and secure system design.

• Ability to thrive in a fast-paced, agile, and continuously evolving environment.

Benefits:

• The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable).