DataScience SME/ Trainer
- Location
- Department
- Work Type
About Cranes Varsity
Cranes Varsity is a pioneer Technical Training institute turned EdTech Platform offering Technology educational services for over 24 years. Being a trusted partner of over 5000+ reputed Academia, Corporate & Defence Organizations we have successfully trained 1 Lakh+ engineers and placed 70,000+ engineers. Cranes Varsity offers high-impact hands-on technology training to Graduates, Universities, Working Professionals, and the Corporate & Defence sectors.
Position: Data Science – Trainer/SME
Department: Technical Training
Job Description
The right candidate should be able to deliver classroom sessions and practical DataScience and machine Learning training, preparation of content/curriculum, and capable of evaluation and mentoring during the session.Work closely with team members, update curriculum, bring in new process and methodologies to improve student and team quality.Should be able to help and guide students to build quality Data Science projects.
Experience: Minimum 5-10 years of Technical Training/Teaching experience preferred
Education: Should have completed BE/Mtech/BCA/MCA/B.Sc./M.Sc. (Computer Science)
Roles & Responsibilities
- Deliver lectures on DATA science
- Explore industrial Topics and include into training course
- Must be able to produce professional project documentation & presentations
Desired Candidate Profile
- Good in Programming knowledge of Python and object oriented programming with Python
- Complete knowledge data science workflow along with strong handson knowledge in building data science projects
- Data visualization, data Pre-processing, ML and deep learning concepts and algorithms detailed knowledge
- Hands on Experience with Libraries like, Numpy, Pandas, SKLearn, Tensorflow, Keras.
- Hand on experience in building ML projects and deployment is a plus.
- Research, Academic or Industry experience with one or more of following areas Natural Language Processing (NLP), Computer Vision.
- Confidence and Strong communication skills to interact with Students & Clients
- Excellent self-management skills (task list, prioritization, working on new algorithms and concepts)
- Passionate about learning and teaching
- Published work in conferences & journals is a plus.
- Excellent communication skills, both written and verbal
- Commitment to quality and timely deliverable
- Good Subject Knowledge
