AI Engineer & Data Scientist

1. AI Engineer
Experience: 4+ years (Freshers with exceptional skills can apply)

Responsibilities:

• Design, develop, and deploy AI and ML models for real-world applications.
• Optimize algorithms for performance and scalability.
• Integrate AI solutions into existing systems and workflows.
• Work on NLP, Computer Vision, and Predictive Analytics projects.
• Stay updated with the latest AI frameworks, tools, and research trends.

Requirements:

• Proficiency in Python, TensorFlow, PyTorch, or Keras.
• Strong understanding of machine learning, deep learning, and data science concepts.
• Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus.
• Excellent problem-solving and analytical skills.

2. Business Analyst Professor
Experience: 4+ years in teaching or corporate training

Responsibilities:

• Deliver high-quality lectures and training sessions on Business Analysis concepts.
• Create structured course content, assignments, and case studies.
• Guide and mentor students on industry-standard BA practices and tools.
• Stay updated with modern methodologies like Agile, Scrum, and SDLC processes.

Requirements:

• Strong knowledge of Business Analysis, Requirement Gathering, and Documentation.
• Hands-on experience with BA tools like JIRA, MS Visio, or Confluence.
• Excellent communication and presentation skills.
• Prior experience in mentoring or training is preferred.

3. Project Manager
Experience: 4+ years in project management

Responsibilities:

• Plan, execute, and deliver projects within timelines and budget.
• Manage cross-functional teams and ensure smooth communication.
• Prepare project documentation, status reports, and risk assessments.
• Ensure compliance with quality standards and client requirements.

Requirements:

• Proven experience in managing IT or software development projects.
• Proficiency in project management tools like JIRA, Trello, or MS Project.
• Knowledge of Agile and Scrum methodologies.
• Strong leadership and problem-solving abilities.
• PMP or equivalent certification is a plus.

4. Data Science Mentor
Experience: 1+ years in Data Science or Analytics

Responsibilities:

• Mentor students and professionals in data science technologies.
• Develop and deliver curriculum for Python, Machine Learning, and Data Analytics.
• Assist learners with real-time projects and problem-solving.
• Keep track of industry trends and update training content accordingly.

Requirements:

• Expertise in Python, R, SQL, and data visualization tools (Tableau, Power BI).
• Strong foundation in statistics, machine learning, and big data technologies.
• Excellent communication and teaching skills.
• Prior experience in training or mentoring preferred.

Job Types: Full-time, Permanent

Pay: ₹700,000.00 - ₹1,400,000.00 per year

Benefits:

• Flexible schedule
• Paid sick time
• Paid time off
• Provident Fund
• Work from home

Work Location: Remote