Description & Requirements
Position Summary
The Senior AI Coach at HCLTech AI & Cloud Native Labs, specialized in Google Cloud Platform (GCP), is responsible for designing and implementing AI courses, coaching engineers, and conducting training sessions for internal and external developers and salespeople. The role emphasizes developing comprehensive training programs, holding cohorts, and providing guidance on AI topics for both technical and sales teams. The ideal candidate will have a strong background in AI technologies, a proven track record in coaching, and a broad understanding of cloud technologies.
Key Responsibilities
Course Design and Development
- Design Comprehensive AI Courses: Develop and structure AI training programs that cover foundational to advanced topics, ensuring the curriculum is up-to-date with the latest industry trends and technologies.
- Create Learning Materials: Develop project notebooks, hands-on exercises, and assessment tools to enhance the learning experience for engineers, developers, and salespeople.
Coaching and Cohort Management
- Conduct Training Sessions: Lead hands-on workshops and training sessions, both online and in-person, to coach engineers and developers on AI technologies.
- Hold Cohorts: Organize and manage learning cohorts, providing continuous support and guidance to ensure participants achieve their learning objectives.
Training for Internal and External Engineers and Salespeople
- Train Engineers and Developers: Provide expert training to HCL employees as well as external clients, focusing on practical applications of AI in real-world scenarios.
- Train Sales Teams: Educate sales teams on AI concepts and technologies, enabling them to better understand and sell AI solutions.
- Develop Custom Training Programs: Tailor training programs to meet the specific needs of different teams, including technical and sales personnel.
Academy Guidance and Thought Leadership
- Guide Academy Topics: Advise on the selection of relevant AI topics for training programs, ensuring content is suitable for both engineers and sales teams.
- Promote AI Knowledge: Act as a thought leader within the organization, sharing insights and advancements in AI through workshops, briefings, and written materials.
Hands-On Coaching and Practical Experience
- Proven Coaching Skills: Demonstrate a strong track record of successfully coaching individuals and teams in AI technologies.
- Hands-On Sessions: Conduct practical, hands-on sessions to ensure learners can apply theoretical knowledge to practical tasks and projects.
Mandatory Skills & Experience
- Experience : 8+ years in AI and machine learning, 5+ years in software development.
- Technologies : Proficiency in Python and AI frameworks like TensorFlow and PyTorch; familiarity with GCP AI services such as Google AI Platform, AutoML, BigQuery ML, Vertex AI, and Dialogflow.
- AI Expertise : Advanced understanding of machine learning algorithms, generative AI models (e.g., Gemini, GPT, BERT), and NLP techniques.
- Big Data : Experience with data processing frameworks like Hadoop and Spark.
- Ethics : Knowledge of AI ethics and governance, including bias mitigation strategies.
- Methodologies : Agile and Scrum project management.
Desired Skills & Experience
- MLOps and Deployment: Knowledge of machine learning operations (MLOps) and experience in deploying, monitoring, and maintaining AI models.
- Data Engineering: Skills in data preprocessing, feature engineering, and creating data pipelines.
- AI Model Fine-Tuning: Expertise in fine-tuning AI models and evaluating their performance for specialized tasks.
- Serverless Computing and Distributed Systems: Understanding of modern computing paradigms and their applications in AI.
- Deep Learning Frameworks: Proficiency in using frameworks such as TensorFlow and PyTorch.
- Strategic Vision: Ability to develop and communicate a strategic vision for AI education and training.
Verifiable Certification
- At least one recognized cloud professional certification (e.g., Google Professional Data Engineer, Google Professional Machine Learning Engineer).
- Google Cloud Certified Trainer certification.
Soft Skills and Behavioural Competencies
- Communication and Leadership: Exemplary skills in communication and leadership, capable of inspiring teams and making strategic decisions that align with business goals.
- Customer Orientation: Strong orientation towards customer satisfaction, innovative problem-solving abilities, and effective cross-cultural collaboration.
- Drive for Innovation: Adept at driving organizational change and fostering a culture of innovation.
About Us
HCLTech AI & Cloud Native Labs is the global Centre of Excellence guiding the application of advanced technologies and leading the way for clients and HCL employees worldwide. We engage with the world’s largest enterprises for strategic advice, accelerated engineering, and industry thought leadership to guide their AI, modernization, and transformation outcomes. As industry leaders in cloud-enabled transformation, we sponsor industry bodies like the Cloud Native Computing Foundation (CNCF) and contribute to successfully deploying emerging technologies. We deliver advanced engineering projects, enable industry collaboration, and work on enhancements to Kubernetes and other open-source projects driving change in the technology industry.