AI/ML Lead

• Lead the design, development, testing, and deployment of AI/ML models and solutions.
  

• Define AI/ML strategies and technical roadmaps aligned with business objectives.
  

• Build and optimize machine learning and deep learning models for real-world applications.
  

• Oversee data preprocessing, feature engineering, model training, validation, and evaluation.
  

• Work with algorithms for classification, regression, clustering, and predictive analytics.
  

• Explore and implement Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) solutions.
  

• Develop scalable AI pipelines and production-ready ML applications.
  

• Implement MLOps practices for model deployment, monitoring, versioning, and retraining.
  

• Collaborate with data engineers, software developers, product managers, and business stakeholders.
  

• Mentor and guide AI/ML engineers and ensure high-quality technical delivery.
  

• Monitor model performance, accuracy, scalability, and reliability.
  

• Ensure data privacy, model security, responsible AI practices, and compliance.
  

• Evaluate emerging AI technologies and recommend suitable tools and frameworks.
  

• Communicate project progress, technical insights, and business impact to stakeholders.
  

Requirements

• Strong programming skills in Python.
  

• Expertise in machine learning libraries such as Scikit-learn, TensorFlow, and PyTorch.
  

• Strong understanding of statistics, probability, linear algebra, and optimization.
  

• Experience with data processing and analysis using Pandas, NumPy, and SQL.
  

• Knowledge of deep learning, NLP, and computer vision.
  

• Experience with Generative AI, LLMs, prompt engineering, and RAG architectures.
  

• Familiarity with frameworks such as LangChain or LlamaIndex.
  

• Experience with model deployment using FastAPI, Flask, or REST APIs.
  

• Knowledge of MLOps tools, Docker, Kubernetes, and CI/CD pipelines.
  

• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
  

• Strong leadership, problem-solving, communication, and project management skills.