Machine Learning Engineer

About Hero Vired:

Would you like to be part of an exciting, innovative, and high-growth startup from one of the largest and most well-respected business houses in the country - the Hero Group?

Hero Vired

Hero Vired,

The illustrious and renowned US$5 billion diversified Hero Group is a conglomerate of Indian companies with primary interests and operations in automotive manufacturing, financing, renewable energy, electronics manufacturing, and education. The Hero Group (BML Munjal family) companies include Hero MotoCorp, Hero FinCorp, Hero Future Energies, Rockman Industries, Hero Electronix, Hero Mindmine, and the BML Munjal University.

For detailed information, visit Hero Vired

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About the Role

Machine Learning Engineer

The ideal candidate should be passionate about building and deploying robust ML models, have strong software engineering principles, and work closely with cross-functional teams to integrate AI-powered features into our digital learning products.

Key Responsibilities:

• Build AI-powered agents using

  LangChain/OpenAI APIs

  to simulate human-like search, click, scrape, and store behavior
• Use Python scraping frameworks (

  Scrapy

  ,

  Playwright

  ,

  BeautifulSoup

  ) to extract dynamic web data
• Apply

  NLP techniques

  to extract structured fields from unstructured content (e.g., reviews, placement data)
• Design ETL pipelines using

  Airflow

  or

  Prefect

  to ingest, clean, enrich, and store data
• Store the output in normalized formats in

  PostgreSQL

  ,

  Neo4j

  , or

  ElasticSearch

• Machine Learning -> Train/update models that improve classification, ranking, or deduplication
• Design a

  GPT-powered web crawler

  that uses Google/Bing APIs to simulate top human clicks → summarize pages → extract structured info
• Build a

  semantic search pipeline

  using

  ElasticSearch + OpenAI embeddings

• Architect a

  Knowledge Graph

  in

  Neo4j

  or

  TigerGraph

  for relationship-heavy queries
• Implement LLM feedback loops for content validation, confidence scoring, and hallucination detection
• Build a monitoring dashboard to track data freshness, accuracy, and update intervals
• Familiarity with Reinforcement Learning with Human Feedback (RLHF) or Retrieval-Augmented Generation (RAG)