3 - 5 years

4 - 8 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Work Mode

Work from Office

Job Type

Full Time

Job Description

Position: ML Engineer (CB35FT RM 3693)

Work mode : Work From Office

Key Responsibilities

  • Design, develop, and maintain data pipelines for large-scale structured and unstructured
    datasets
  • Apply ML/DL techniques for:
  • Customer segmentation
  • Anomaly detection
  • Sales forecasting and pattern analysis
  • Recommendation engines
  • Fine-tune and deploy machine learning models in production using best practices
  • Design, prompt, and integrate LLM-based modules for tasks like summarization, Q&A, and
    code generation
  • Work on multi-modal LLM tasks involving text, image (CV), and speech (ASR/TTS)
  • Develop and expose ML APIs using FastAPI/Docker for integration with other systems
  • Monitor model performance and retrain/update models as required
  • Collaborate with frontend/backend developers, data teams, and product managers

Required Skills & Experience

  • 3 5 years of hands-on experience in ML/Data Science/Data Engineering roles
  • Min 2 years hands on experience in Microsoft SQL (T-SQL) Coding, SPOC, Complex SQL Joins,
    Data Modelling
  • Proficient in Python, including libraries like pandas, scikit-learn, PyTorch or TensorFlow
  • Experience in deploying ML models using FastAPI, Docker, and CI/CD pipelines
  • Solid understanding of data preprocessing, ETL, and feature engineering
  • Experience with deep learning and LLMs (e.g., OpenAI, HuggingFace, LLaMA, etc.)
  • Practical experience with prompt engineering and LLM fine-tuning
  • Familiarity with multi-modal learning, Computer Vision (e.g., OpenCV, YOLO, CLIP), and Speech
    AI (e.g., Whisper, TTS engines)
  • Strong understanding of ML lifecycle: training, evaluation, monitoring, deployment
  • Experience with cloud platforms (Azure) is a plus
  • Ability to write clean, modular, production-grade code

Job Category:

Others

Job Type:

Full Time

Job Location:

Pune

Experience:

3 - 5 years

Notice period:

0-30 days

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