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