Job Description

Job Title: Machine Learning/Data Science Trainers

No of positions: 09

Location: Vijayawada, Andhra Pradesh

Employment Type: Full-Time

Experience: 2-5 years

Gender : M/F

Salary: Depends on experience

Education Qualification: BTech/MTech/MCA/MSC

Company Description

Datavalley.ai is a leading provider of training and consulting services in the fields of Big Data, Data Engineering, Data Architecture, DevOps, Data Science, Machine Learning, IoT, and Cloud Technologies. We offer tailored training programs led by industry experts to equip professionals and organizations with the skills and knowledge needed in the rapidly evolving data landscape. Our commitment to staying on top of emerging trends ensures that our clients receive cutting-edge training.

Job description

We are actively seeking an experienced Data Science Trainer with a robust background in data science methodologies, machine learning, and statistical analysis. Specifically focused on preparing individuals for roles in data science, you will play a pivotal role in shaping the future of aspiring candidates by imparting essential skills for success in the field.

Roles and Responsibilities:

• Faculty has to teach each topic with real time scenarios.
• Daily tasks should be given to students after class.
• After finishing every chapter interview questions should be given to students.
• Deliver Comprehensive Training.
• Hands-On Practical Sessions.
• Mentorship and Guidance.
• Industry-Relevant Curriculum.
• Assessment and Feedback.
• Prepare Students for Placements

Preferred Candidate Profile:

• Education: Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
• Proven experience as a Data Scientist or Data Science Trainer.
• Good experience in Python.
• Strong understanding of Data Science concepts, tools, and techniques.
• Excellent communication and presentation skills in Telugu and English.
• Experience with college visits or educational outreach is a plus.
• Technical Proficiency:
• Proficiency in data science concepts, techniques, and tools, including machine learning, data analysis, data visualization, and predictive modeling.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Strong understanding of statistical analysis and hypothesis testing.
• Knowledge of machine learning algorithms, frameworks, and libraries, such as scikit-learn, TensorFlow, or PyTorch.
• Familiarity with big data technologies like Hadoop, Spark, and distributed computing.Understanding of deep learning techniques and neural networks.
• Proficiency in SQL for data manipulation and retrieval from databases.

Job Types: Full-time, Permanent

Pay: ?300,000.00 - ?800,000.00 per year

Benefits:

• Provident Fund

Schedule:

• Day shift

Supplemental Pay:

• Performance bonus

Experience:

• total work: 2 years (Preferred)

Work Location: In person