Department: Artificial Intelligence Jobs - AI Engineer and Data Scientist
Location: Indore, MP (Work from Office)
We are seeking fresher candidates with a strong understanding of Generative AI, AI/ML, and tools like TensorFlow, PyTorch, and Pandas. The ideal candidate should have a solid foundation in Object-Oriented Programming (OOPs), database management (SQL Server, MySQL), and strong problem-solving skills. Candidates must be able to work effectively as part of a team and communicate well. The role involves contributing to innovative AI solutions and staying up-to-date with industry trends and technologies.
Career, Not Just a Job: Opportunities for career growth in AI.
Global Exposure: Opportunities for on-site work in the USA, UK, Australia, and the Middle East.
On-site Benefits: Attractive benefits for on-site roles.
Excellent programming and communication skills.
Knowledge of databases and database management tools.
Complete understanding of OOP concepts and their implementation in development.
Stay up-to-date with the latest trends in AI/ML, ensuring the company remains competitive.
Develop documentation throughout the Software Development Life Cycle (SDLC).
Familiarity with Agile methodologies.
Work on real-world projects during the training period to enhance practical skills.
Educational Qualification: BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent.
Must have a solid understanding of HTML, CSS, JavaScript, MySQL, JQuery, AJAX.
Strong command over OOP concepts and MVC architecture.
Excellent communication, problem-solving, and analytical skills.
Good logical and programming skills.
Added Advantage Skills: Knowledge of Django, Python, Ruby on Rails, AngularJS, C++.
0 months to 1 year of experience.
Indore, MP
(Work from Office)
Work from Office
Willingness to work on-site at locations in India and globally, including the USA, UK, Australia, and the Middle East. On-site benefits apply.
Indore, Nagpur, Bhopal, Jabalpur, Nasik, Ujjain, Gwalior, Chhindwara, Kanpur, Patna, Bangalore, Chennai, Mumbai, Pune, Hyderabad, NCR, Ahmedabad
