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Data Scientist Instructor

Data Scientist Instructor

ConfidentialSonipat, Sonipat / Sonepat, India
20 days ago
Job description

Experience : 0 to 2 Years Exp

Preferred Notice Period : Upto 30 Days

Opportunity Type : Office (Sonipat)

Placement Type : Full-time

  • Note : This is a requirement for one of Uplers' Clients- Newton School )

Must have skills : AI / ML OR Machine Learning OR Deep Learning

Key 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.
  • Required Qualifications & Experience

  • Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI / ML, or related field. (PhD is valued but not mandatory.)
  • 0.5 to 2 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. (Formal academic teaching experience is not mandatory.)
  • 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.
  • Good-to-Have

  • Prior teaching experience at the undergraduate or graduate level.
  • Familiarity with modern teaching methodologies and academic tools.
  • Perks & Benefits

  • Competitive salary packages aligned with industry standards.
  • Access to state-of-the-art labs and classroom facilities.
  • Opportunity to contribute to cutting-edge academic work in collaboration with Newton School of Technology and Rishihood University.
  • Skills Required

    Sql, Tensorflow, Numpy, Nlp, Git, Pandas, Pytorch, Gcp, Docker, Azure, Python, Computer Vision, Aws

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