Data Scientist + Instructor

Newton School; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading educational institution in Hyderabad is seeking a Data Scientist + Instructor in AI/ML. This role blends practical expertise with academic responsibilities, including course design and student mentorship. Ideal candidates will have over 6 years of experience in AI/ML and strong Python skills. Responsibilities include teaching project-based courses, guiding hands-on student projects, and collaborating with academic leaders to enhance curriculum relevance. A passion for education is essential.

Qualifications

• 6+ years of direct, hands-on professional experience in tech as AI/ML Engineer or similar.
• Expert-level Python programming and thorough understanding of ML algorithms.
• Experience with ML Ops practices and tools.

Responsibilities

• Design and deliver practical, project-based courses in AI/ML.
• Develop industry-relevant curriculum based on current tools and techniques.
• Mentor students through hands-on AI/ML projects.

Skills

Python programming

Data science libraries (Pandas, NumPy, Scikit-learn)

ML/DL frameworks (TensorFlow, PyTorch)

SQL and data handling skills

AI concepts (NLP, Computer Vision, Generative AI)

Soft skills (communication, mentoring)

Education

Bachelor's or Master's degree in relevant field

Tools

Git

Docker

AWS/GCP/Azure

Job description

We are currently seeking a Data Scientist + Instructor - AI/ML to join our Computer Science Department. This role is ideal for professionals with substantial industry experience who are passionate about Artificial Intelligence and Machine Learning and committed to shaping the next generation of tech talent. The position combines hands‑on technical expertise with academic responsibilities, including designing and delivering course content, conducting practical lab sessions, and mentoring students in core Data Science and AI/ML concepts. The ideal candidate will also collaborate with academic leaders and industry partners to ensure curriculum relevance, integrate real‑world problem‑solving, and drive strong learning outcomes.

Responsibilities

• Teach Applied AI/ML: Design and deliver practical, project‑based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI).
• Develop Industry‑Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies.
• Mentor Student Projects: Guide students through hands‑on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards.
• Guide and Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements.
• Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom.
• Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience.
• Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real‑world applications.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.)
• 6+ years of direct, hands‑on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving AI/ML development and deployment.
• Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real‑world problems.
• Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical and deep learning - CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.
• Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.)
• Technical: Expert‑level Python programming.
• Proficiency with data science libraries (Pandas, NumPy, Scikit‑learn).
• Hands‑on experience with ML/DL frameworks (TensorFlow, PyTorch).
• Strong SQL and data handling skills.
• Understanding of ML Ops practices and tools (Git, Docker, AWS/GCP/Azure).
• Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs).
• Soft Skills: Strong communication, mentoring ability, collaboration, and a genuine passion for education.
• Prior teaching experience at the undergraduate or graduate level.
• Familiarity with modern teaching methodologies and academic.