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
Role Overview: As an AI Engineer, your main responsibility will be to design, develop, and deploy AI and ML models for real-world applications. You will optimize algorithms for performance and scalability, integrate AI solutions into existing systems, and work on NLP, Computer Vision, and Predictive Analytics projects. It is essential to stay updated with the latest AI frameworks, tools, and research trends. Key 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. Qualifications Required: - 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. Additional Details: The company offers benefits such as flexible schedule, paid sick time, paid time off, Provident Fund, and work from home option. (Note: The above job description is for an AI Engineer position with 4+ years of experience or freshers with exceptional skills.),
1. Data Science Experience: 0–1 year (Freshers can apply) Responsibilities: Assist in data analysis, cleaning, and visualization tasks. Support in developing and implementing machine learning models under senior guidance. Work with real-time datasets to extract insights and prepare reports. Learn and apply tools like Python, Power BI, or Tableau for analytics. Stay updated with the latest trends in data science and AI technologies. Requirements: Basic knowledge of Python , SQL , and data analytics concepts. Understanding of statistics and machine learning fundamentals is an advantage. Good logical thinking and problem-solving skills. Eagerness to learn, explore, and grow in the field of Data Science. Strong communication and teamwork skills. 2. AI Engineer Experience : 0–1 year (Freshers can apply) Responsibilities : Assist in the design, development, and testing of AI/ML models. Support senior engineers in training and optimizing algorithms for better performance. Work on data preprocessing, model evaluation, and deployment tasks. Collaborate on projects involving Natural Language Processing (NLP) , Computer Vision , and Predictive Analytics . Stay updated with the latest AI tools, frameworks, and research trends. Requirements : Basic knowledge of Python and any one framework such as TensorFlow , PyTorch , or Keras . Understanding of machine learning and deep learning fundamentals. Familiarity with data preprocessing , model evaluation , and AI project workflows . Strong problem-solving, logical thinking, and teamwork skills. Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus but not mandatory. 3. Robotics Engineer Experience: 0–1 year (Freshers can apply) Responsibilities: Assist in the design, development, and testing of robotic systems and automation solutions. Work with microcontrollers (Arduino, Raspberry Pi) and learn to integrate sensors and actuators. Support in building, coding, and troubleshooting robots. Collaborate with the team on robotics-based projects and documentation. Stay updated with new technologies in Robotics, AI, and Automation . Requirements: Basic understanding of robotics concepts , electronics , or programming . Knowledge of Python , C++ , or any microcontroller-based coding (preferred but not mandatory). Strong analytical, problem-solving, and teamwork skills. Eagerness to learn and grow in the robotics domain. Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,400,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Work from home Work Location: Remote