We're hiring a Senior ML Engineer to work with one of our clients - a well-funded AI startup at the intersection of artificial intelligence, private equity, and the energy transition. You'll help build AI-driven platforms transforming how a $30Bn+ investment ecosystem operates.
What You'll Do
- Build and maintain scalable data pipelines and ETL processes for AI / ML platforms
- Develop and optimize web services for model inference at scale
- Train, tune, and monitor ML models for production use cases
- Integrate structured and unstructured data sources into unified platforms
- Apply NLP techniques for data enrichment and transformation
- Leverage Generative AI tools to accelerate development workflows
- Implement best practices for data quality, governance, and security
- Collaborate with data scientists and engineers to deliver production-ready solutions
What We're Looking For
5–8 years in ML Engineering, Data Engineering, or related rolesStrong programming skills in Python, SQL, and Java / ScalaHands-on experience with data pipeline frameworks (Airflow, Spark, Kafka)Experience building web services, preferably for model inferenceFamiliarity with cloud platforms (AWS, Azure, or GCP)Practical experience with NLP and Generative AI toolsKnowledge of relational / NoSQL databases and data warehousing (MongoDB, Redshift, BigQuery)BS / MS in Computer Science, Data Engineering, or related field