Senior AI / Machine Learning Engineer

Harrison Clarke is seeking a Senior AI / Machine Learning Engineer to design and deploy scalable AI systems that power next-generation data products. The role involves building production-grade machine learning and generative AI applications in collaboration with a team of engineers, data scientists, and product leaders.

Responsibilities:

• Design and implement machine learning pipelines from data ingestion to production deployment
• Build and optimize generative AI and LLM-based applications
• Develop scalable data pipelines and feature engineering workflows
• Deploy ML systems using cloud infrastructure and containerized environments
• Collaborate with data scientists to productionize models
• Improve model monitoring, performance, and reliability
• Architect systems capable of handling large-scale data and real-time inference

Requirements:

• Strong experience in Python for ML and data systems
• Production experience with machine learning frameworks (PyTorch, TensorFlow, Scikit-learn)
• Experience building LLM or generative AI applications
• Strong data engineering skills (SQL, Spark, Databricks, or Snowflake)
• Cloud experience with AWS, Azure, or GCP
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Deep understanding of ML lifecycle, model deployment, and MLOps
• Engineers who ship production systems, not just models
• Strong system design and architecture skills
• Ability to work autonomously and deliver quickly
• Experience in fast-paced product environments
• Experience building RAG pipelines or vector search systems
• Familiarity with LLM frameworks (LangChain, LlamaIndex)
• Experience with feature stores or ML platforms
• Knowledge of real-time inference architectures