Senior Machine Learning Engineer

What you'll do

• Build and deploy production-grade AI systems including GenAI agents, predictive ML, and retrieval systems.
• Develop data pipelines and infrastructure to support large-scale structured and unstructured enterprise data.
• Create evaluation frameworks and techniques to improve model accuracy and user experience.
• Own the end-to-end lifecycle of AI solutions from architecture and experimentation to monitoring and deployment.
• Identify and prototype emerging AI opportunities to create differentiated, production-ready capabilities.
• Integrate AI capabilities into real-world sales and marketing workflows to solve business problems.
• Design scalable systems optimized for quality, latency, cost, and operational performance.

What we're looking for

• MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• 5+ years of experience building and deploying machine learning, GenAI, NLP, retrieval, or related AI systems.
• Strong understanding of modern LLM and agentic AI technologies including RAG, tool/function calling, reasoning, evaluation, and context management.
• Strong foundation in machine learning, predictive modeling, statistics, and techniques for working with large-scale structured and unstructured data.
• Strong software engineering skills including Python, data structures, algorithms, system design, testing, code quality, and production debugging.
• Experience building production AI/ML services using PyTorch, REST APIs, Docker, data pipelines, and cloud platforms like Azure or AWS.
• Experience designing scalable and reliable AI systems evaluated across quality, latency, cost, and operational performance.
• Excellent problem-solving and communication skills to work effectively with technical and business teams.