Lead Software Engineer MLOps
$220k - $240kHarnham
Lead Software Engineer - MLOps $220,000-$240,000 base + bonus + benefits New York, New York - 3 days/week hybrid About the Organization Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization's innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools. The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows. About the Role
- Provide technical leadership across research and engineering initiatives
- Establish engineering standards, best practices, and scalable methodologies
- Lead technical workstreams and influence cross-team design decisions
- Mentor engineers and elevate team-level technical capabilities
- Design and build scalable ML systems and data pipelines
- Enable researchers to develop, train, and deploy novel ML models
- Collaborate with research scientists to prototype and productionize AI solutions
- Support full lifecycle: spec > design > build > scale > maintain
- Build high-performance systems for large-scale online environments
- Develop data processing pipelines for ML experimentation and training
- Ensure system reliability, performance, and scalability
- 7+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models, ideally with AI voice, multi-modal or chatbot systems
- Software engineering background with recent experience with AI products
- Strong Python development expertise; familiar with Terraform, TypeScript, Java
- Experience building and scaling ML systems in production
- Familiarity with ML/data science ecosystem (NumPy, Pandas, PyTorch, etc.)
- Experience with distributed systems and data pipelines
- Cloud platforms (AWS, Azure, or similar)
- Strong system design and DevOps fundamentals, specifically with CI/CD
- MLOps toolset in MLFlow, KubeFlow or other orchestration tools
- Ability to collaborate with research scientists and engineers
- Strong communication and leadership skills
- BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar
Vacancy posted 2 days ago
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