Staff Machine Learning Engineer

People In AI is a fast-growing vertical SaaS company focused on transforming a large, under-digitized industry through modern cloud software and data-driven intelligence. They are seeking a Staff Machine Learning Engineer to build and scale production-grade machine learning systems, collaborating across teams to define architecture and best practices for ML.

Responsibilities:

• Design, build, and deploy end-to-end ML systems across regression, classification, clustering, ranking, and recommendation problems
• Develop and productionize models using proprietary, large-scale structured datasets
• Build and optimize data pipelines, feature stores, and model serving infrastructure
• Contribute to LLM-powered features and agent-based workflows integrated into core product experiences
• Collaborate cross-functionally with product, engineering, and data teams to identify and solve high-impact problems
• Implement best practices in MLOps, including CI/CD, monitoring, and model lifecycle management
• Help shape the long-term ML strategy, architecture, and tooling in a greenfield environment

Requirements:

• Hands-on experience building and shipping ML systems in production
• Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow
• Solid grounding in classical ML techniques (regression, classification, clustering, feature engineering, evaluation)
• Experience working with large-scale datasets and production constraints
• Familiarity with modern MLOps practices (versioning, orchestration, deployment, monitoring)
• Strong SQL and data handling capabilities
• Comfort operating in ambiguous, fast-moving environments with high ownership
• Low ego, high curiosity, and strong collaboration skills
• Exposure to NLP, LLMs, or vector databases is a plus