Job Description

AI/ML Coach – Higher Education

Company: SciRobNics Technology Private Limited

Location: Hyderabad, Telangana

Engagement: Full-Time

Experience: 3–6 Years

About Scirobnics

Scirobnics Technology Private Limited is a deep-tech skilling and infrastructure company building industry-aligned learning ecosystems for the future workforce. The company designs and deploys industrial-grade labs and emerging-technology infrastructure across domains including Electric Vehicles, Energy Systems, Defence Technologies, Robotics, Drones, AI, and AR/VR, bridging the gap between academic learning and real-world industry requirements.

SciRobNics works with schools, universities, training institutions and government organisations to deliver hands-on learning, live projects, research exposure and employability-focused technology programs.

With a strong focus on Make in India, OEM-backed solutions and institutional partnerships, SciRobNics is building scalable ecosystems for deep-tech workforce development across India.

About the Opportunity

We are looking for a passionate and hands-on AI/ML Coach to be part of an advanced technology education initiative at a premium, NAAC A++ university in Hyderabad.

The role involves working closely with students and training them in Machine Learning, Deep Learning, Generative AI, MLOps and Applied AI Research.

This is a hands-on academic-industry role, combining classroom delivery, practical labs, project mentoring and research-oriented learning. The ideal candidate should be able to teach by building—translating complex AI concepts into practical implementations and helping students progress from fundamentals to real-world AI systems.

Key Responsibilities

Deliver engaging classroom and hands-on sessions in Python, Machine Learning and Deep Learning.
Teach concepts and practical implementation using scikit-learn, PyTorch/TensorFlow, CNNs, RNNs, LSTMs, Transformers, NLP and Computer Vision.
Introduce students to Generative AI, LLMs, RAG, embeddings and model fine-tuning.
Conduct practical exercises using GPU and cloud computing infrastructure.
Mentor students on real-world AI/ML projects, capstone projects and technical portfolios.
Guide students on model deployment, APIs, Docker, MLflow and MLOps practices.
Support advanced students in research-paper implementation, experimentation, evaluation and technical documentation.
Conduct assignments, practical assessments, project reviews and student evaluations.
Collaborate with university faculty and SciRobNics academic/technical teams to ensure high-quality program delivery.

Required Skills & Experience

3–6 years of hands-on experience in AI/ML, Data Science, Deep Learning or a closely related field.
Strong Python and Machine Learning fundamentals.
Practical experience with scikit-learn and PyTorch/TensorFlow.
Strong understanding of Deep Learning, NLP and/or Computer Vision.
Experience with Transformers, Hugging Face and Generative AI.
Ability to independently build, demonstrate and troubleshoot AI/ML projects.
Strong communication, presentation and mentoring skills.
Ability to explain complex technical concepts to undergraduate engineering students in a clear and engaging manner.

Good to Have

LLM fine-tuning, LoRA/PEFT, RAG or AI agents.
Docker, MLflow and MLOps.
AWS, Azure or GCP.
NVIDIA GPU/CUDA experience.
Experience implementing or reproducing research papers.
Kaggle, GitHub or open-source contributions.
Prior experience in university teaching, corporate training, academic mentoring or technical coaching.

Qualification

B.Tech / M.Tech / MCA / M.Sc. in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related discipline.

Why This Role