Data Scientist + Junior Instructor Experience: 3 to 6 Years Exp
Placement Type: Permanent
(*AI/ML, Deep Learning, LLMs OR NLP OR Transformers OR Statistical Modelling OR Agentic AI

Data Scientist + Junior Instructor who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. Backed by global investors (RTP Global, Nexus, Kunal Shah, and more), we are building a Tech Institute to solve the employability gap for millions of graduates. 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 qualified 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 & Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements.
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.
Required Qualifications & Experience

- Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field.



(PhD is valued but not mandatory.)
- 3-6 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.
- 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 & deep learning CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.
- Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.)

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).
Prior teaching experience at the undergraduate or graduate level.
Familiarity with modern teaching methodologies and academic tools.

Increase your chances to get shortlisted & meet the client for the Interview!

Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
(So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today.

📌 Data Scientist (Python, ML, SQL) (Pune)
🏢 Uplers
📍 Pune