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AI/ML Lead

Training Basket · Noida, Uttar Pradesh, India

Strong hiring record · median 19 days open

100100

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AI/ML Lead at Training Basket. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • 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.

Skills

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