Senior Data Scientist (AI and Machine Learning)

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.

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.

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.