Machine Learning Engineer

About the Opportunity:
Youll step into a senior, handsâ??on engineering role where youll own systems from concept to production. This position blends software engineering depth, architectural design, technical leadership, and collaboration with consultants, data scientists, and clients. Your work will span AI platforms, analytical systems, LLMâ??enabled tools, data pipelines, microservices, and cloudâ??based deployments. Youll guide technical delivery, mentor engineers, and ensure robust engineering practices across multiple projects.

Key Responsibilities:

• Lead the development of software components supporting analytics, machine learning, LLM applications, and AIâ??driven workflows
• Architect back-end services, APIs, and data models that support AI and largeâ??scale analytical solutions
• Build and maintain data pipelines, feature stores, inference engines, and modelâ??serving systems
• Integrate ML models and LLMs into production environments using scalable, reliable patterns
• Implement testing, monitoring, and governance processes for production AI systems
• Translate analytical and client requirements into system designs and actionable engineering work
• Collaborate across advisory, actuarial, analytics, and technical teams to embed AI within broader consulting projects

What You Need to Succeed:

• ð??? MSc in Computer Science (or a related field)
• Strong grounding in algorithms, systems design, software engineering principles, mathematics & probability
• Expertise in Python, with additional experience in JavaScript/Node.js advantageous
• Experience deploying production systems using PyTorch, Docker, Kubernetes, REST APIs, and microservices
• Ability to design scalable back-end architecture and distributed systems
• Familiarity with Git/GitHub, CI/CD automation, and Linux/Windows environments
• Experience with cloud platforms (AWS/Azure/GCP) advantageous

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