AI & Machine Learning Engineer (Generative AI)

1 week ago

Pune, Maharashtra, India Onelab Ventures Full time ₹ 15,00,000 - ₹ 25,00,000 per year
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Job Details:

Title:
AI & Machine Learning Engineer (Generative AI)

Location:
On-site – Pune, Maharashtra

Employment Type:
Full-Time

Experience:
1–4 years

CTC:
As per company norms

Preferences:

Immediate Joiners only

Candidates from Maharashtra preferred

2+ years in the same organization preferred

Local Pune candidates will get priority


Role Summary:

We're looking for a highly skilled
AI/ML Engineer
to design, develop, and deploy intelligent systems leveraging
LLMs, RAG architectures, and advanced ML/DL models
. The ideal candidate will contribute to building scalable AI solutions that power real-world applications across multiple domains.


Key Responsibilities:

  • Design and maintain
    Retrieval-Augmented Generation (RAG)
    pipelines using
    LlamaIndex, LangChain
    , and
    vector databases
    (FAISS, Qdrant, ChromaDB).
  • Develop, train, and deploy
    ML/DL models
    (CNNs, RNNs, Transformers, YOLO, Stable Diffusion) for varied business use cases.
  • Build and manage
    scalable backend systems and REST APIs
    using
    FastAPI, Flask, or Django
    .
  • Implement
    CI/CD and MLOps best practices
    for automation, reproducibility, and monitoring (Docker, Kubernetes, MLflow, Jenkins, GitHub Actions).
  • Develop and integrate
    Chatbots, Conversational AI, and Agentic AI systems
    to enable autonomous workflows.
  • Collaborate with cross-functional teams to optimize system architecture, model performance, and data quality.


Technical Skills:

Languages:
Python, Bash/Shell

ML/DL:
Regression, XGBoost, CNNs, RNNs, Transformers, YOLO, Stable Diffusion

NLP & LLMs:
Hugging Face, GPT, BERT, T5, LLaMA, Mistral, Prompt Engineering

RAG & Vector DBs:
LlamaIndex, LangChain, FAISS, Qdrant, ChromaDB

Chatbots & Agentic AI:
Dialogflow, Rasa, LangChain Agents, AutoGen

Backend:
FastAPI, Flask, Django, REST APIs

MLOps:
Docker, Kubernetes, MLflow, DVC, Jenkins, GitHub Actions

Cloud:
AWS, GCP, Azure

Databases:
SQL, PostgreSQL, SQLite

Data Engineering:
ETL, Data Cleaning, Pipelines

Education:

B.Tech/M.Tech/MS in Computer Science, Data Science, Engineering, Statistics, or related fields.

How to Apply:

Drop your CV to

Subject line:

AI & Machine Learning Engineer (Generative AI)

Include in your email:

  • Your 
    Current CTC (Cost to Company)
  • Your Expected CTC
  • Your Notice Period
  • Your Current Location
  • Are you an Immediate Joiner (Yes/No)?
  • Your Last Working Date
     (if applicable)
  • Your 
    Total Experience & Relevant Experience
  • Any Employment Gap/Education Gap
     (if applicable)
  • Have you attended an 
    interview with Onelab in the past 1 year?

Only shortlisted candidates will be contacted for the initial screening round.


#WeAreHiring #HiringNow #OnelabVentures

AI #MachineLearning #GenerativeAI #DeepLearning #DataScience #NLP #LLMs #LangChain #RAG #MLOps #CloudAI #AICareers #AIJobs #MLJobs #TechHiring #AIInnovation #Python #TensorFlow #PyTorch #PromptEngineering #AIEngineer #CareerOpportunity

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