
AI Engineer
2 weeks ago
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, ₹1,400,000.00 per year
Benefits:
- Flexible schedule
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: Remote
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