AI Innovator

11 hours ago

Bareilly, Uttar Pradesh, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Role Summary

A talented AI innovator is needed to lead the development of cutting-edge machine learning and deep learning models.

The ideal candidate should have a strong background in NLP, large language models (LLMs), generative AI, and MLOps.

  • Leverage expertise in classical machine learning, conversational AI, and deep learning systems to drive innovation and growth.
  • Collaborate with cross-functional teams to develop and implement scalable AI-driven solutions.
Responsibilities:
  • Develop and drive the AI/ML strategy aligned with business objectives.
  • Lead research and design of cutting-edge machine learning and deep learning models.
  • Establish best practices for data pipelines, feature engineering, model deployment, and AI governance.
  • Optimize LLMs (GPT, BERT, T5, etc.) for various business applications.
  • Work on text generation, semantic search, intent recognition, and AI-driven recommendation systems.
  • Oversee end-to-end model lifecycle from data collection and preprocessing to model deployment and monitoring.
  • Implement MLOps best practices to streamline model retraining, CI/CD for ML pipelines, and productionization.
  • Lead and mentor a team of data scientists and ML engineers.
Qualifications & Experience:
  • Minimum 5 years of hands-on experience in machine learning, deep learning, NLP, and AI-driven applications.
  • Proficiency in Classical ML (Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting, etc.) and Deep Learning (CNNs, LSTMs, GANs, Transformers, etc.).
  • Strong experience with GPT, BERT, T5, Hugging Face Transformers, NLTK, and SpaCy.
  • Proficiency in Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, and MLOps tools (MLflow, Kubernetes, Docker, AWS SageMaker, Azure ML, etc.).

Leadership Skills:

  • Ability to mentor and develop junior data scientists.
  • Exceptional problem-solving and critical-thinking abilities.
  • Strong communication skills to effectively convey complex AI concepts to stakeholders.

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