AI/ML Solutions Engineer

Position: Application For AI/ML Solution Engineer

Location: Hinjewadi Phase 1, Pune (Onsite)

Experience: 1–4 Years

Employment Type: Full-Time

CTC: As per company norms

Important Notes:

• Only Immediate Joiners (0–15 Days) will be preferred
• Candidates from Maharashtra preferred
• Preference for candidates with 2+ years in the same company
• Local Pune candidates will be given priority

Job Summary:

We are seeking a skilled AI/ML Engineer to build, deploy, and optimize intelligent systems. The role involves working on ML pipelines, LLMs, and retrieval-augmented architectures for real-world applications.

Responsibilities:

Build & maintain RAG pipelines (LlamaIndex, LangChain, vector DBs)

Train & deploy ML/DL models (CNN, RNN, Transformers, YOLO, Stable Diffusion)

Develop backend systems & APIs (FastAPI, Flask, Django)

Implement CI/CD & MLOps best practices (Docker, K8s, MLflow, Jenkins)

Collaborate to improve system design & model performance

Skills Required:

Python (primary), Bash/Shell scripting

ML/DL (Regression, XGBoost, CNNs, Transformers, etc.)

NLP (Hugging Face, embeddings, preprocessing)

LLMs (GPT, BERT, T5, LLaMA, Mistral)

RAG (LlamaIndex preferred), Vector DBs (FAISS, Qdrant, ChromaDB)

Cloud (AWS, GCP, Azure)

Databases (SQL, PostgreSQL, SQLite)

How to Apply:

Send your CV to pranit@onelabventures.com or Talents@onelabventures.com with the

Subject line: Application For AI/ML Solution Engineer

Please include the following details in your application:

• Current Location
• Total Relevant Experience
• Current CTC
• Expected CTC
• Official Notice Period
• Immediate Joiner Confirmation (Yes/No)

Note: Only shortlisted candidates will be contacted for the next steps in the interview process.

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):

• We must fill this position urgently. Can you start immediately?
• Are you comfortable working in an onsite setting?
• How many years of experience do you have in AI/ML model development & deployment?
• Have you worked on RAG pipelines (LlamaIndex, LangChain, Vector DBs)? If yes, how many years?
• Do you have hands-on experience with Deep Learning models (CNN, RNN, Transformers, YOLO, Stable Diffusion)?
• How much experience do you have in Backend/API development (FastAPI, Flask, Django)?
• What is your experience with Databases & Vector DBs (SQL, PostgreSQL, FAISS, Qdrant, ChromaDB)?
• Which Cloud platforms (AWS, GCP, Azure) have you deployed ML workloads on?
• What is your current salary (CTC)?
• What is your expected salary (CTC)?
• What is your official Notice Peroid?

Work Location: In person