AI/ML Engineer

This position is for an AI/ML Engineer who will be responsible for designing, developing, and deploying AI and machine learning solutions within a hybrid cloud environment. The role involves collaborating with team members to build software systems that integrate AI/ML techniques to automate tasks, assist internal users, and improve user-facing services., * System Design & Collaboration:

• Work within established constraints regarding infrastructure, programming languages, and model selection
• Contribute to technical decision-making related to data processing, retrieval strategies, and system integration
• Collaborate with team members to define agent architectures, workflows, and system design decisions
• Evaluate and select appropriate approaches for given tasks, including determining when to use LLM-based versus non-LLM techniques

• Testing, Evaluation, and Quality Assurance:

• Assist in the design and implementation of testing and evaluation pipelines for AI/ML systems
• Develop unit and integration tests for AI-enabled workflows and data pipelines
• Generate and utilize synthetic data to support evaluation and benchmarking efforts
• Contribute to improving system performance, including accuracy, latency, and cost efficiency

• Deployment & Operations:

• Support deployment of AI/ML applications within a hybrid cloud environment
• Work with containerized applications to ensure reliable deployment and updates
• Optimize systems for environments with limited computational resources, including minimal GPU availability

• General Responsibilities:

• Deliver production-grade systems aligned with defined requirements, while supporting iterative improvement of evolving tools
• Document system designs, workflows, and technical decisions as required
• Stay informed on relevant advancements in AI/ML and apply them where appropriate within project constraints

Skills and Experience required:

• Experience with:

• SQL and relational database systems (e.g., PostgreSQL)
• Fine-tuning small language models or embedding models
• Contributing to or maintaining open-source software projects
• Graph databases or graph extensions (e.g., Neo4j, Apache AGE)
• Designing and implementing multi-agent or task-oriented AI systems