We're hiring a Senior ML Engineer to work with one of our clients a well-funded Al startup at the intersection of artificial intelligence, private equity, and the energy transition. You'll help build Al-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 Al 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 roles
- Robust programming skills in Python, SQL, and Java/Scala
- Hands-on experience with data pipeline frameworks (Airflow, Spark, Kafka)
- Experience building web services, preferably for model inference
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Practical experience with NLP and Generative Al tools
- Knowledge of relational/NoSQL databases and data warehousing (MongoDB, Redshift, BigQuery)
- BS/MS in Computer Science, Data Engineering, or related field.
Why This Role? Work on cutting-edge Al problems in a high-growth domain. Be part of building platforms that drive digital transformation across the energy sector.