Job Description

1. Role and Responsibilities: 
2. > Collaborate with the AI team to implement and maintain advanced machine learning algorithms and models.
3. > Contribute to the development, refinement, and validation of machine learning algorithms for various products and applications.
4. > Work on Computer Vision and Image Processing tasks, along with data processing, to support AI projects.
5. > Utilize deep learning frameworks like PyTorch or TensorFlow to build and experiment with AI models.
6. > Version and deploy ML models effectively for integration into products and applications.
7. > Demonstrate strong programming and problem-solving skills, particularly in Python.
8. > Communicate effectively with the team, providing updates, sharing findings, and participating in discussions.
9. > Present findings and results clearly and professionally through written reports and oral presentations.
10. > Be proactive in exploring and researching new AI-related technologies and techniques.
11. > Collaborate with Cloud Deployment teams to ensure seamless integration and performance of AI solutions.
12. > Demonstrate proficiency in NLP, LLMS, Text annotation, and Information extraction
13.  
14. Requirements: 
15. > Proficient with Computer Vision, Image Processing and data processing.  Highly Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications
16. > Experience in deep learning frameworks like PyTorch/ Tensorflow
17. > Strong experience with Python, good programming and problem solving skills
18. > Excellent communication skills (both oral and written), presentation skills
19.  
20. Preferred Skills:
21. > Experience with Machine Learning
22. > Model Versioning and Deployment. 
23. > Good knowledge of Cloud Deployment
24. > Proficient with NLP, LLMS, Text annotation and Information extraction
25.  
26. Location: Hyderabad
27.  
28. Employment Type: Full-time Internship with a PPO

Candidate Preferences:

Immediate joiners will be preferred.

Perks

5 days a week

Informal dress code

Pre- Placement Offer (PPO)