Are you a Computer Vision enthusiast with skills in Python, OpenCV, Deep Learning, Machine Learning, Image Processing, JavaScript, Django, and Flask? Join us at Jivichem Synthesis Private Limited as a Computer Vision Intern and be part of a dynamic team working on cutting-edge projects.
1. Develop and implement computer vision algorithms to analyze and interpret visual data.
2. Collaborate with the team to design and optimize computer vision systems for various applications.
3. Work on image processing tasks to enhance the quality and accuracy of visual data.
4. Utilize deep learning techniques to improve the performance of computer vision models.
5. Explore and experiment with new technologies to stay updated on the latest trends in computer vision.
6. Assist in the development of web-based applications using JavaScript, Django, and Flask.
7. Contribute to the research and development of innovative solutions in the field of computer vision.
If you are passionate about Computer Vision and eager to gain hands-on experience in a fast-paced environment, apply now and take the first step towards a rewarding career with us!
Only those candidates can apply who:
1. are available for the work from home job/internship
2. can start the work from home job/internship between 3rd Jul'24 and 7th Aug'24
3. are available for duration of 1 month
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Jivichem is a state-of-the-art CRO/CDMO committed to delivering top-quality services to drug discovery companies addressing global healthcare needs. Our partners include the world's leading pharmaceutical companies and institutes. We excel in meeting time-sensitive deadlines crucial for critical clinical trials, leveraging our strong scientific foundation to maximize collaborative value.
We provide our partners with maximum flexibility in medicinal chemistry SAR development, synthetic route scouting, process optimization, and scalable production up to multi-ton scale. Our success stems from our dedication to meeting rigorous scientific standards. Each challenge is an opportunity to demonstrate our commitment to our partners' success.
