AI & Machine Learning Engineer (Generative AI)

India

#AIJobs | Build, Innovate, and Transform the Future with AI & Design

www.onelabventures.com

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 pranit@onelabventures.com

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.

Job Type: Full-time

Pay: ₹400,000.00 - ₹600,000.00 per year

Benefits:

Flexible schedule
Health insurance
Provident Fund

Ability to commute/relocate:

Hinjewadi, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

What is your total relevant experience (in years) in AI/ML-related roles, including hands-on work with model development, deployment, or related systems?
Have you worked on any projects involving LLMs or Generative AI (e.g., GPT, BERT, LLaMA, Mistral)?
Have you implemented or contributed to any RAG pipelines?
What is your experience with Python-based backend/API development (e.g., FastAPI, Flask, Django)?
Have you deployed models using Docker, Kubernetes, or CI/CD tools (e.g., Jenkins, GitHub Actions)?
Which cloud platforms have you worked on (e.g., AWS, GCP, Azure)?
What is your current location?
What is your current salary (CTC)?
What is your expected salary (CTC)?
What is your official notice period?
We are looking for immediate joiners — if selected, how soon (in days) can you join?
If your profile is shortlisted, we will conduct the final face-to-face interview at our office. Are you available to attend in person?

Education: