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Advanced Machine Learning Professional

3 weeks ago


Dombivli, Maharashtra, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI/ML Data Scientist

We seek a highly skilled AI/ML data scientist to join our team. As a key member of our organization, you will be responsible for developing and implementing advanced machine learning and deep learning models to solve complex business problems.

  • Design, develop, and deploy large-scale machine learning and deep learning models to drive business growth.
  • 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.
Key Responsibilities:
  1. Model evaluation, validation, and continuous optimization to ensure high performance.
  2. Cloud Infrastructure & Full-Stack Development:
  • Architect and implement scalable, cloud-native ML/AI solutions using AWS, Azure, or GCP.
  • Develop full-stack applications that seamlessly integrate AI models with modern web technologies.
  • Build and maintain robust ML pipelines using cloud services.
  • Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.
Required Skills & Qualifications:
  • 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.
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.
Benefits:
  • Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP.
  • Build and maintain ML pipelines using cloud services.
  • Implement CI/CD pipelines for ML model deployment and monitoring.
  • Work with both SQL and NoSQL databases.

If interested, please share your resume with us.