Freelance AI/ML OpsTrainer

4 days ago

Chennai, Tamil Nadu, India Grethena Full time ₹ 12,00,000 - ₹ 36,00,000 per year

ABOUT COMPANY:

IT Talent Hub is a leading provider of industry-ready AI and IT training, dedicated to equipping learners with the skills required to excel in today's technology-driven job market. We collaborate with top UK companies to ensure our training programs align with current industry demands, offering a seamless transition from learning to employment. Our comprehensive approach covers candidate sourcing, training, and onboarding, making us a trusted partner for both learners and employers.

KEY DUTIES AND RESPONSIBILITIES

As an AI and Data Science Trainer in the Technology Department, you will play a pivotal role in shaping the next generation of AI professionals. Your responsibilities will include:

  • Delivering hands-on, industry-aligned training sessions in Machine Learning engineering, MLOps, cloud platforms (AWS/Azure), DevOps, Python programming, APIs, CI/CD pipelines, Docker, and Kubernetes.
  • Mentoring learners through real-world AI projects, including advanced topics such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and Natural Language Processing (NLP).
  • Guiding candidates in building robust portfolios, preparing for interviews, and navigating career transitions into AI and data science roles.
  • Developing, updating, and enhancing training content and curriculum to reflect the latest industry trends and best practices.
  • Collaborating with cross-functional teams to support curriculum improvement, learner engagement, and successful onboarding.
  • Monitoring learner progress, providing constructive feedback, and ensuring high standards of training delivery.
  • Facilitating workshops and hackathons to foster practical skills and innovation among participants.
  • Maintaining up-to-date knowledge of emerging AI technologies, tools, and methodologies to ensure training relevance and excellence.

POSITION REQUIREMENTS

WORK EXPERIENCE

  • Minimum of 10 years' professional experience in AI, Data Science, or related technology domains.
  • Proven track record in delivering scalable, production-grade AI systems and mentoring technical teams. Extensive experience in designing and implementing ML engineering workflows, MLOps, and cloud-based solutions.

EDUCATIONAL QUALIFICATION SKILLS / BEHAVIOUR ATTRIBUTES

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications in cloud platforms (AWS/Azure), ML engineering, or DevOps are highly desirable. Expert proficiency in Python, ML engineering, MLOps, CI/CD, Docker, Kubernetes, cloud platforms (AWS/Azure), Databricks, and data pipeline orchestration.
  • Advanced knowledge of LLMs, Generative AI, NLP, and AI agent frameworks.
  • Strong communication and presentation skills, with the ability to simplify complex concepts for diverse audiences.
  • Exceptional mentoring and coaching abilities, fostering a collaborative and inclusive learning environment.
  • Demonstrated teamwork, adaptability, and proactive problem-solving skills. Ability to design and deliver engaging, hands-on training modules and workshops. Excellent organizational skills and attention to detail

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