Senior Data Scientist (AI and Machine Learning)
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)11+ yrsBengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the design, development, deployment, and optimization of scalable AI/ML solutions including classical ML, NLP, Generative AI, and others, ensuring they integrate seamlessly into SDLC.
- Architect and build data pipelines and infrastructure to support AI-driven solutions, enabling efficient extraction, transformation, and loading from diverse data sources.
- Provide technical leadership, conduct code/design reviews, mentor junior team members, and collaborate cross-functionally to align AI solutions with business requirements.
Minimum Requirements
- 11+ years of experience in Data Science roles with relevant work on AI/ML solutions.
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- 6+ years experience building and deploying data science pipelines and solutions in production environments.
- Onsite work requirement at HPE office; strong hands-on coding skills in Python; experience with AWS, Databricks, Snowflake, big data tools (Hadoop, Spark, Kafka), relational and NoSQL databases.
Ideal Candidate Profile
- Experienced in architecting and scaling AI and ML models including advanced techniques such as Generative AI and Conversational AI in complex, fast-paced environments.
- Proven ability to lead and mentor technical teams while managing cross-functional collaboration for AI initiatives tied to business outcomes.
- Strong background working with diverse and unstructured datasets from sources like CRM, bug data, machine logs in technical support contexts.