Talent Pool: Senior AI/ML Engineer

Responsibilities

• Architect and implement scalable ML/LLM systems that handle large volumes of data and near real-time processing, with attention to security, reliability, latency, and cost optimization. 
• Build modular, maintainable, well-tested Python services and workflow components. 
• Design and implement enterprise integrations for agentic workflows (internal systems and external downstream systems) using relevant platform APIs. 
• Perform quality assurance and data normalization across pipelines 
• Automate the creation of clear, user-friendly reports and outputs (e.g., PDFs and UI-ready views) based on agent results, designed to support adoption and everyday use. 
• Collaborate closely with stakeholders and engineers across teams to deliver solutions. 

Requirements

• Strong proficiency in Python, including asyncio 
• Solid experience building REST APIs
• Familiarity with ML frameworks and libraries such as PyTorch / TensorFlow (Keras), numpy, scikit-learn. 
• Experience with tool calling and MCP 
• Experience with LLM agents, including handling state, context, memory, iterative loops, and output validation. 
• Experience working with databases / data stores (PostgreSQL/MySQL, NoSQL, S3)
• Experience evaluating ML/LLM outputs for quality, accuracy, and consistency, and implementing practical evaluation and validation of workflows. 
• English Level B2+ 

Nice to have

• Azure ecosystem experience: Azure Functions, Azure Cognitive Services, Azure AI Vision / Document Intelligence (or “Vision Foundry” if that’s your internal name). 
• Docker 

We offer

• Competitive compensation
• Remote or office work
• Flexible working hours
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs
• A team with an excellent tech expertise
• Certifications paid by the company