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AI Leader

3 weeks ago

Gulbarga, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: AI Expert

Experience:

  • 5+ Years of experience in data science and machine learning.

Location: Remote/ Indore/ Mumbai/ Chennai/ Gurugram

Industry: Must be from BPO/KPO or Healthcare Org. Or Shared services

Key Responsibilities:

  • Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.
  • Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
  • Build agent-based AI systems with autonomous decision-making capabilities.
  • Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
  • Perform model evaluation, validation, and continuous optimization to ensure high performance.
Technical Skills - Core AI/ML
  • Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
  • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
  • Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
  • Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
  • Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.
Benefits
  • Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP
  • Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
  • Implement CI/CD pipelines for ML model deployment and monitoring
  • Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
  • Machine Learning: Scikit-learn
  • Deep Learning: TensorFlow
  • Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

Required Qualifications:

  • Education & Experience
  • Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
  • 3+ years of experience working with deep learning frameworks and neural networks.
  • 2+ years of experience with cloud platforms and full-stack development.

Knowledge of LangChain, LlamaIndex, or similar LLM frameworks is desired.