Back
Tier-1 brand, Bengaluru metro, generalist ML title and broad skillset increase applicant competition.
Core AI/ML and data-engineering skills are transferable, though network/support domain specifics raise specialization.
Mandatory 7+ years plus specific ML, data engineering, and platform tech requirements enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, maintain, and optimize scalable data pipelines and feature store to enable advanced AI/ML applications and data ingestion/transformation.
Apply AI/ML techniques including Gen AI and NLP for data redaction, anomaly detection, text extraction and summarization using LLMs/SLMs.
Implement automation and observability for data pipelines integrating multiple sources, leveraging AWS S3, Snowflake, Databricks, and MCP servers.
7+ years of experience in data analysis and AI/ML engineering.
Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or related quantitative field.
Mandatory experience with API or stream-based data extraction processes (e.g., Salesforce API) and web crawling.
Onsite work requirement at HPE office (India location).
Experienced in building end-to-end pipelines for semi/unstructured data (text, images, video, audio) with strong skills in AI/ML model application and data transformation.
Proficient with Gen AI applications, LLMs, prompt engineering, embedding models, vector databases, and NLP techniques.
Comfortable working with cloud data platforms (AWS S3, Snowflake), Databricks environment, and automating workflows with a strong focus on data governance and quality.