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EXL
AI Engineer
AI Engineer
On-siteSeniorAI EngineerJust posted
Role summaryAI-generated
The AI Engineer will design and deploy scalable machine learning models on Databricks, handling end-to-end pipelines from data ingestion to production. They will also implement MLOps practices for model monitoring and continuous integration.
Skills required
About this role
Looking for an experienced AI Engineer with strong Databricks expertise to build scalable ML/AI solutions. The role requires hands-on experience in model development, data analysis, and end-to-end ML pipelines.
Responsibilities
- Build and deploy ML/AI models
- Work on Databricks (Spark, Delta Lake, MLflow)
- Perform data analysis & feature engineering
- Develop end-to-end pipelines (ETL → model → deployment)
- Implement MLOps & model monitoring
Qualifications
- 5+ years in AI/ML/Data Engineering
- Strong Python & PySpark
- Hands-on Databricks & Spark
- Experience in ML model development & deployment
- Strong SQL & data understanding
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