About the job Senior Data Scientist / AI Engineer
Role Overview:Seeking a hands-on Senior Data Scientist / AI Engineer with 5-6 years of experience to deliver end-to-end Machine Learning and AI solutions on Azure. The role involves building scalable data pipelines, developing ML models and AI agents, and deploying production-grade solutions for real business use cases.
Key Responsibilities:- Own end-to-end AI/ML solution delivery from problem definition to production
- Build and maintain data pipelines using PySpark and Spark on Azure Databricks
- Perform feature engineering, data preparation, and model development
- Develop, deploy, and monitor ML models and AI agents
- Implement agentic AI workflows with multi-step reasoning and tool usage
- Track experiments and deployments using Mlflow
- Monitor model performance, drift, and reliability in production
- Collaborate with business, data engineering, and analytics teams
- Mentor junior team members and promote best practices
Required Skills- Strong hands-on experience in Python and SQL
- Experience with PySpark, Spark, and Azure Databricks
- Solid understanding of ML workflows and evaluation techniques
- Experience with MLflow and MLOps fundamentals
- Exposure to LLMs, AI agents, and GenAI frameworks (LangChain/Semantic Kernel preferred) Experience & Education
- 5-6 years of hands-on experience in Data Science, ML, or AI Engineering
- Proven experience delivering ML/AI solutions in production
- Experience in cloud environments, preferably Azure
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
