AI/ML Software Engineer,

AI/ML Software Engineer

Duration: Five (5) Years

Remote: Only first 2 days onsite

C2C Rate: OPEN

Required: Bachelor of Science in Engineering, Computer Science, Data Science, or Mathematics, or a related field - copy of certificate needed

Skills:

• At least three (3) years’ experience in data science, machine learning, or applied AI development.
• At least three (3) years’ experience in software engineering, architecture, or web development

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
• Designing and building software systems that integrate AI/ML techniques to automate tasks, assist internal users, and improve user-facing services.

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 the team