Senior AI/ML Engineer (GenAI, NLP, ML) (Sangli)

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.

Ideal Candidate

- Strong AI Engineer / Data Scientist / Generative AI profile.
- Mandatory (Experience 1)
- Must have 3+ years of hands-on experience in Data Science, Machine Learning, Deep Learning, NLP, and AI-driven applications.
- Mandatory (Experience 2)
- Must have strong hands-on experience in Python programming and backend development in Linux environments.
- Mandatory (Experience 3)
- Must have proven experience in Machine Learning, Deep Learning, NLP, text classification, image classification, and predictive modeling projects.
- Mandatory (Experience 4)
- Must have hands-on experience with Computer Vision technologies such as YOLO, OpenCV, OCR, Tesseract, and EasyOCR
- Mandatory (Experience 5)
- Must have strong experience in building and maintaining scalable APIs and inference services using FastAPI.
- Mandatory (Experience 6)
- Must have hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
- Mandatory (Experience 7)
- Must have experience working with ETL pipelines, data processing, NumPy, Pandas, and data handling workflows.
- Mandatory (Experience 8)
- Must have experience working with NoSQL databases such as MongoDB or Redis.
- Mandatory (Skill 1)
- Must have hands-on exposure to Generative AI tools/models such as OpenAI GPT, Gemini, Claude, or LLaMA
- Mandatory (Skill 2)
- Must have strong analytical thinking, debugging skills, RCA experience, and ability to independently resolve complex technical issues
- Mandatory (CTC)
- The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
- Mandatory ( Age ) Candidate Should be Below 28 Years.
- Preferred (Experience 1)
- Experience with MLOps practices, model monitoring, and production deployment of AI/ML systems.
- Preferred (Experience 2)
- Familiarity with Docker, Kubernetes, cloud platforms, and scalable deployment architecture.
- Preferred (Experience 3)
- Experience working in Agile squads, POD delivery models, and fast-paced engineering environments.
- Preferred (Company)
- Candidates from AI-first startups, product companies, SaaS organizations, fintech, or data-driven technology companies.

Perks, Benefits and Work Culture

Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an chance at any of the 500+ locations we’re present in India. Apply on Kit Job: kitjob.in/job/4n6f9i