AI & Machine Learning Engineer (Generative AI)

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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:

• Bachelor's (Required)

Work Location: In person