Python-Data Science - AI/ML

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LTIMindtree

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL NoSQL Spark Azure PyTorch ELK CI AWS Sagemaker AWS TensorFlow

Job Description

Skill: Python-Data Science - AI/ML

Experience: 8 - 12 years

Location: Bangalore


Job Description:


We are seeking a highly skilled Python Data Scientist with strong expertise in AI/ML to design, build, and deploy scalable machine learning solutions. The ideal candidate will have hands-on experience in production-grade ML systems, NLP, LLMs, and Generative AI, along with a strong foundation in data science and cloud-based ML platforms.

This role involves working on cutting-edge AI solutions, including RAG-based applications, and contributing across the full lifecycle—from data exploration to model deployment.

Key Responsibilities

  • Design, develop, and deploy machine learning models in production environments
  • Build and optimize NLP, LLM, and Generative AI solutions
  • Develop Retrieval-Augmented Generation (RAG) based applications
  • Work with large datasets to perform EDA, feature engineering, and hypothesis testing
  • Collaborate with cross-functional teams to integrate ML models into business systems
  • Deploy and manage ML models on cloud platforms (Azure ML / AWS SageMaker)
  • Ensure scalability, performance, and reliability of AI/ML solutions
  • Create data pipelines and workflows for model training and inference
  • Develop dashboards and visualizations to communicate insights

Primary Skills (Must Have)

  • Strong experience in Python for Data Science and Machine Learning
  • Hands-on experience in ML model deployment in production
  • Expertise in NLP, LLMs, and Generative AI
  • Experience building RAG-based applications
  • Proficiency in PyTorch or TensorFlow
  • Experience with cloud ML platforms (Azure ML / AWS SageMaker)

Secondary Skills (Good to Have)

  • Exposure to Reinforcement Learning
  • Strong understanding of EDA & statistical hypothesis testing
  • Experience with Spark ML / distributed computing
  • Knowledge of SQL / NoSQL databases
  • Experience in data visualization tools (Tableau, ELK stack)

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
  • 3+ years of experience in Data Science / AI-ML roles
  • Strong problem-solving and analytical skills

Nice to Have

  • Experience working with enterprise-scale AI systems
  • Familiarity with MLOps practices and CI/CD pipelines
  • Exposure to real-time data processing and model monitoring


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