Data Scientist

Experience: 7- 15 Years Exp Salary : Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Onsite ( Pune ) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients--Newton School) Must have skills required : Machine Learning, Deep Learning, Python Role & 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 & 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. Qualifications and Requirements: Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.) 7+ 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 & 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. Required Skills: 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.