Data Science Trainer

Data Scientist + Instructor(AI/ML)

Salary:

Preferred Notice Period:

Opportunity Type:

Placement Type:

Must have skills:

About Newton School:

Role Overview:

Key Responsibilities:

1. Lead Applied AI/ML InstructionDesign and deliver high-impact, project-driven courses in AI/ML covering areas like Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, Computer Vision, ML Ops, and Generative AI.Foster deep conceptual understanding through real-world examples and case studies.

2. Drive Curriculum InnovationDevelop and continuously evolve the AI/ML curriculum to stay aligned with cutting-edge tools, techniques, and emerging industry trends.Bring industry insights, best practices, and recent advancements into academic learning.

3. Mentor & Guide LearnersSupervise and mentor students on AI/ML projects from ideation to deployment.Provide regular technical feedback, code reviews, and guidance on applying ML techniques to solve real-world challenges.

4. Academic LeadershipCollaborate with other faculty and program leaders to enhance the academic experience.Lead academic sessions, guest lectures, and workshops that bridge industry knowledge with classroom learning.

5. Research & Continuous LearningStay abreast of the latest research in AI/ML and integrate it into teaching and applied projects.Encourage students to explore open-source contributions, research papers, and real-world problem-solving.

Required Qualifications & Experience:

• Bachelors or Master’s degree in Computer Science, Engineering, Data Science, or related field (PhD preferred).
• 4+ years of professional experience as a Data Scientist, AI/ML Engineer, or Research Scientist with proven experience in developing, training, and deploying machine learning models at scale.
• Demonstrated teaching, mentoring, or corporate training experience — ability to communicate complex concepts clearly and effectively to diverse audiences.
• Deep understanding of classical ML algorithms and Deep Learning architectures (CNNs, RNNs, Transformers).
• Strong foundation in statistics, data processing, model evaluation, and optimization techniques.

Required Skills:Technical Expertise

• Advanced proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn).
• Strong experience with TensorFlow, PyTorch, and modern ML/DL pipelines.
• Solid understanding of SQL, data preprocessing, and feature engineering.
• Familiarity with MLOps tools and practices (Git, Docker, AWS/GCP/Azure).
• Applied knowledge in NLP, Computer Vision, and Generative AI/LLMs.

Soft Skills:

• Exceptional communication and presentation abilities.
• Empathy, patience, and passion for teaching and mentoring.
• Strong collaboration and leadership mindset.

Good-to-Have:

• Prior experience in an academic or edtech environment teaching data science or AI/ML.
• Contributions to research, publications, or open-source AI/ML projects.
• Experience designing academic assessments, workshops, or capstone projects.

Perks & Benefits:

• Competitive salary packages aligned with senior-level industry standards
• Opportunity to shape India’s future AI education landscape.
• Access to world-class labs, infrastructure, and interdisciplinary collaborations.
• Work alongside top educators, industry veterans, and researchers.

How to apply for this opportunity?Easy 3 Step Process:

• Click On Apply and register or log in to our portal
• Upload updated Resume & complete the Screening Form
• Increase your chances of getting shortlisted & meet the client for the Interview!

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