- Company Name
- LeadStack Inc.
- Job Title
- AI/ML Engineer - 25-02707
- Job Description
-
**Job Title:** AI/ML Engineer
**Role Summary:**
Design, develop, and deploy cloud‑native AI solutions on AWS to support educational and operational workflows. Own end‑to‑end implementation of generative AI, retrieval‑augmented generation, and traditional ML models, ensuring scalability, security, and compliance.
**Expectations:**
- Minimum 3 years experience deploying AI/ML applications in production.
- At least 2 years hands‑on with AWS serverless, microservices, CI/CD, and IAM.
- Strong Python proficiency; AWS Associate‑level certification required (Solutions Architect, Developer, SysOps, or Data Engineer).
- Ability to translate complex requirements into maintainable, secure AWS‑native systems.
**Key Responsibilities:**
- Design and implement AI systems combining GenAI, narrow AI, and classic ML (regression, classification).
- Build RAG, multi‑agent, and protocol‑based AI workflows using LangChain, LlamaIndex, or equivalents.
- Integrate models into production via AWS Lambda, Fargate, ECS, and API Gateway.
- Fine‑tune and optimize models for latency, performance, and reliability in educational use cases.
- Create and manage data pipelines for training, evaluation, and monitoring (Glue, S3, Step Functions, Kinesis).
- Architect scalable AI workloads using SageMaker, Bedrock, EventBridge, and IAM‑based security.
- Develop automated CI/CD pipelines (GitHub Actions, CodePipeline) and implement Docker containerization.
- Ensure compliance with data protection regulations (e.g., FERPA, GDPR‑style).
- Collaborate with cross‑functional teams in an agile environment; participate in sprints, code reviews, and knowledge sharing.
**Required Skills:**
- Programming: Python (required); familiarity with Go, Rust, R, or TypeScript a plus.
- AI/ML frameworks: PyTorch, TensorFlow, LangChain, LlamaIndex, etc.
- AWS services: SageMaker, Bedrock, Lambda, ECS/Fargate, API Gateway, EventBridge, Glue, S3, Step Functions, IAM, CloudWatch.
- IaC: AWS CloudFormation.
- DevOps: Git, Docker, CI/CD (GitHub Actions, CodePipeline).
- Data stores: SQL/NoSQL, vector databases, AWS data services.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, AI/ML, Data Engineering, or related field (Master’s preferred).
- At least one AWS Associate‑level certification (required).
- Professional‑level or specialty AWS certifications (e.g., Machine Learning Specialty, Advanced Networking, Security) are advantageous.