Data Scientist II
Mastercard (company site, opens in a new tab)3–4 yrsGurugramOn-siteDirect career pageEst. 22–38 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and productionize enterprise-grade AI and Generative AI solutions using Databricks, AWS, and MLOps practices.
- Design, implement, and maintain scalable AI/ML applications, APIs, and end-to-end ML pipelines including model fine-tuning and evaluation.
- Collaborate cross-functionally with data science, engineering, product, security, and governance teams to deliver secure and responsible AI systems.
Minimum Requirements
- 3–4 years of experience in AI/ML engineering, software engineering, data science, or related fields.
- Proficiency in Python, SQL, API development, Git, Databricks, Spark/PySpark, MLflow, and production ML workflows.
- Practical experience with AWS cloud architecture, container deployment (Docker, Kubernetes), and CI/CD pipelines.
- Bachelor’s or Master’s degree in Computer Science, IT, or related STEM field.
Ideal Candidate Profile
- Experienced in fine-tuning foundation models and building RAG, embedding workflows, and AI agent applications at scale.
- Skilled in using modern ML engineering tools (Databricks, MLflow, Hugging Face) combined with software engineering best practices (testing, observability, monitoring).
- Comfortable operating in a regulated environment with secure cloud deployments and responsible AI controls.