AI/ML Engineer – Generative AI

4 days ago

Pune, Maharashtra, India Enterprise Minds, Inc Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Title:
AI/ML Engineer – Generative AI

Location :
Pune
Role Summary

The AI/ML Engineer – Generative AI & RAG will be responsible for designing, developing, and deploying state-of-the-art machine learning models with a focus on Generative AI and Retrieval-Augmented Generation (RAG). The role involves building scalable solutions using Python, large language models (LLMs), and retrieval pipelines to solve complex business problems and enhance product capabilities.
Key Responsibilities

  • Design, develop, and deploy scalable ML solutions using LLMs and RAG architecture.
  • Implement and optimize prompt engineering, embeddings, vector databases, and retrieval mechanisms.
  • Develop APIs and services to integrate AI solutions into production systems.
  • Collaborate with data engineers, product managers, and other stakeholders to define technical requirements.
  • Continuously evaluate and improve model performance and accuracy.
  • Stay updated with the latest research and developments in GenAI, NLP, and ML.
  • Contribute to technical documentation, code reviews, and best practices.
  • Ensure all AI solutions comply with ethical and data privacy standards.

Required Qualifications & Skills

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • Strong programming skills in
    Python
    , including use of libraries like TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.
  • Experience with
    LLMs
    (GPT, LLaMA, Claude, etc.) and
    RAG
    frameworks.
  • Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
  • Solid understanding of NLP, embeddings, tokenization, and attention mechanisms.
  • Familiarity with APIs, RESTful services, and cloud deployment (AWS/GCP/Azure).
  • Strong foundation in data structures, algorithms, and ML workflows.

Soft Skills

  • Strong problem-solving and analytical thinking.
  • Excellent verbal and written communication skills.
  • Adaptability and willingness to learn emerging technologies.
  • Collaboration and teamwork in cross-functional environments.
  • Strong attention to detail and ability to deliver high-quality work.

Preferred Qualifications

  • Ph.D. in a relevant field.
  • Experience deploying LLMs in production environments.
  • Contributions to open-source GenAI projects or research publications.
  • Knowledge of MLOps and CI/CD for ML pipelines.
  • Experience with Kubernetes, Docker, or other containerization tools.

Key Relationships

  • AI/ML Team
  • Data Engineering Team
  • Product Management
  • Software Development
  • IT Security & Compliance
  • Business Stakeholders

Role Dimensions

  • Team Size Managed:
    None / Optional (if leadership role)
  • Budget Responsibility:
    None / Optional
  • Scope of Impact:
    Company-wide AI capabilities and customer-facing features
  • Decision-Making Authority:
    Technical implementation within AI projects

Success Measures (KPIs)

  • Time to deploy new ML/GenAI features
  • Accuracy and performance of deployed models
  • User engagement and satisfaction with AI features
  • Uptime and reliability of AI services
  • Contribution to AI/ML research or innovation within the team
  • Reusability and scalability of AI code and systems

Competency Framework Alignment

  • Technical Expertise:
    Mastery in Python, ML frameworks, GenAI, and RAG
  • Innovation:
    Drives AI innovation and creative problem-solving
  • Collaboration:
    Works effectively in multi-disciplinary teams
  • Execution Excellence:
    Delivers high-quality, scalable AI solutions
  • Customer Focus:
    Builds AI features that enhance user experience
  • Ethical Responsibility:
    Ensures responsible AI practices and data governance

Thanks,

Renuka

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