AI Lead

11 hours ago

Bellary, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Lead a cutting-edge team of data scientists to spearhead AI and Machine Learning initiatives.

This is an exceptional opportunity for a visionary professional who can drive innovation in Classical Machine Learning, Conversational AI, and Deep Learning Systems. You will provide technical leadership and strategic direction while overseeing model development and optimization.

Key Responsibilities:

  • Define and implement the AI/ML strategy aligned with business objectives.
  • Research, design, and develop advanced machine learning and deep learning models, including LLMs, GANs, VAEs, Transformers, CNNs, and RNNs.
  • Establish best practices for data pipelines, feature engineering, model deployment, and AI governance.
  • Evaluate emerging AI/ML technologies and recommend their adoption where beneficial.
  • Architect and implement Generative AI solutions to enhance conversational AI experiences.
  • Optimize LLMs (GPT, BERT, T5, etc.) for various business applications, including prompt engineering, fine-tuning, and model interpretability.
  • Work on text generation, semantic search, intent recognition, and AI-driven recommendation systems.
  • Oversee the 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.
  • Optimize models using hyperparameter tuning techniques such as grid search, Bayesian optimization, and neural architecture search.

Requirements & Qualifications:

  • Bachelor's or Master's in Computer Science, Data Science, AI, Statistics, or a related field.
  • 5+ years of hands-on experience in machine learning, deep learning, NLP, and AI-driven applications.
  • Machine Learning & AI: Proficiency in Classical ML (Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting, etc.) and Deep Learning (CNNs, LSTMs, GANs, Transformers, etc.).
  • LLM & NLP Expertise: Strong experience with GPT, BERT, T5, Hugging Face Transformers, NLTK, and SpaCy.
  • Programming & Tools: Proficiency in Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, and MLOps tools (MLflow, Kubernetes, Docker, AWS SageMaker, Azure ML, etc.).
  • Big Data & Cloud: Experience working with large-scale datasets, cloud-based AI solutions (AWS, Azure, GCP), and distributed computing frameworks (Spark, Dask, Hadoop).
  • Model Deployment: Strong understanding of APIs, CI/CD pipelines for ML models, containerization (Docker, Kubernetes), and model monitoring.

Preferred Skills & Leadership:

  • Strong leadership skills with the 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 business stakeholders.
  • Proactive ownership of projects, ensuring timely delivery and alignment with business needs.
  • Ability to manage multiple projects and prioritize effectively in a fast-paced environment.

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