Job Purpose
We are looking for a proactive and versatile AI Engineer to join our Data AI POD team.

- You
will play a key role in building scalable AI systems that span data engineering, ML/DL,
Generative AI, and production-grade APIs.

- This is a hands-on, impact-driven role where
problem-solving, analytical thinking, and a deep understanding of both code and data are
essential.

-
The ideal candidate will have experience in Text and Image classification, NLP techniques,
computer vision (YOLO, OCR), and be comfortable developing backend services in
Python/Linux.

- You will also work with cutting-edge GenAI models like OpenAI GPT and
Google Gemini to solve business problems with intelligent automation.

Duties and Responsibilities
Design, develop, and maintain robust data pipelines and workflows for AI/ML tasks.

-

- Perform root cause analysis (RCA) on model performance, data issues, and system
failures; proactively identify and resolve bottlenecks.

-

- Write clean, efficient, and scalable Python code for AI/ML applications.

-

- Build, document, and maintain backend APIs using FastAPI to support real-time and
batch inference services.

-

- Apply machine learning and deep learning techniques for text classification, image
classification, and other predictive tasks.

-

- Develop and integrate NLP models for tasks such as sentiment analysis,
summarization, entity recognition, and more.

-

- Use YOLO, OpenCV, and OCR libraries (e.

- g.

- , Tesseract, EasyOCR) for computer vision
applications.

-

- Leverage Generative AI models (e.

- g.

- , OpenAI GPT, Google Gemini) to create
intelligent interfaces and solutions.

-

- Manipulate and visualize data using NumPy, Pandas, Matplotlib, and Seaborn.

-





- Work with NoSQL databases (e.

- g.

- , MongoDB, Redis) for scalable data storage and
retrieval.

-

- Operate and deploy solutions effectively in Linux-based environments.

-

- Participate in code reviews, debugging, and performance optimization.

-

- Follow through on assigned action items, timelines, and deliverables in an Agile
delivery model.

Required Qualifications and Experience
Required Skills & Qualifications

- Strong experience in Python programming and development in Linux environments.

-

- Solid background in data engineering and ETL pipeline design.

-

- Hands-on experience with ML/DL frameworks (e.

- g.

- , TensorFlow, PyTorch, Scikitlearn).

-

- Proven experience in NLP tasks and classification problems (text/image).

-

- Experience with YOLO, OCR, and OpenCV for computer vision projects.

-

- Knowledge of Generative AI models like GPT, Gemini, Claude, or LLaMA.

-

- Strong problem-solving and analytical skills; ability to work independently on
complex technical issues.

-

- Skilled in building and maintaining FastAPI-based APIs and services.

-

- Proficiency with data manipulation and visualization tools (NumPy, Pandas,
Matplotlib, Seaborn).

-

- Experience integrating with NoSQL databases.

-

- Excellent multitasking and project follow-through capabilities in a fast-paced team
setting.

-

- Familiarity with Git, VS Code, and modern development practices.

-
Good to Have

- Production experience deploying AI/ML models in cloud or on-prem environments.

-

- Experience with MLOps practices, model versioning, and monitoring.

-

- Familiarity with containerized deployment using Docker and/or Kubernetes.

-

- Experience working in a POD delivery model or Agile squads.

📌 Senior AI Engineer (Pune)
🏢 Bajaj Finance
📍 Pune