AI ML Engineer

6 days ago

Pune, Maharashtra, India Equipoptimizacions Software Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Role & responsibilities

  • Define and execute the AI/ML roadmap for personalized recommendation features.
  • Develop and deploy ML models into production using tools like FastAPI, Docker, MLFlow, and Airflow.
  • Build and optimize recommendation systems using collaborative filtering, content-based filtering, and knowledge-based techniques.
  • Integrate agentic AI workflows using LLMs (OpenAI APIs, Vertex AI) and Retrieval-Augmented Generation (RAG).
  • Work with structured and unstructured data including user behavior, travel logs, and merchant/product metadata.
  • Use Perplexity-style LLM architectures to enhance explainability and product/merchant discovery.
  • Collaborate across backend, frontend, and data engineering teams for end-to-end system integration.
  • Ensure scalable and secure deployment on cloud platforms (AWS, GCP, or Azure).

Preferred candidate profile

  • 2 to 5 years of IT industry experience & min 2 years ML/AI model development, roadmap ownership, and production deployment.
  • Proven experience deploying ML models with FastAPI, Docker, MLFlow, and Airflow.
  • Strong hands-on expertise in Python, Pandas, scikit-learn, and recommendation libraries like LightFM or XGBoost.
  • Solid understanding of recommender systems, including hybrid approaches combining collaborative and content-based filtering.
  • Familiarity with agentic AI systems and LLM workflows (RAG, prompt engineering, conversational AI).
  • Working knowledge of Vertex AI, OpenAI APIs, or Perplexity-style architectures for LLM-enhanced recommendations.
  • Exposure to cloud environments (AWS/GCP/Azure) for training and serving ML models.
  • Immediate availability is a must.
  • Strong problem-solving skills, adaptability, and the ability to work independently in a fast-paced environment.

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