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Fractal Analytics

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4.0

based on 758 Reviews

42 Fractal Analytics Jobs

Vision Language Data Scientist

Fractal Analytics Ltd

4.0

based on 758 Reviews

1-7 years

₹ 6 - 31L/yr (AmbitionBox estimate)

Mumbai, Pune, Chennai + 2 more

1 vacancy

Vision Language Data Scientist

Fractal Analytics

posted 17hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python Artificial Intelligence Research Automation Testing Robotic Process Automation Motion Graphics

+ 4 more

Job Description

Were committed to bringing passion and customer focus to the business.

Company Overview:

Job Location: Bangalore

We are seeking highly skilled and motivated vision / vision-language data scientists to join our dynamic AI team.

Ideal candidate should have experience into

Vision Transformers, BEiT, MAE, DINO, SAM, DINO v2, Visual chatGPT, segGPT, CLIP, BLIP, FILIP, GLIP, FLIP, VQA, Stable Diffusion, Visual Prompt Tuning
Image classification, image retrieval, object detection and tracking, optical flow, instance segmentation, pose estimation, monocular depth estimation, image captioning, GAN
Ideal candidate should have strong basics with proven experience / exposure in Computer Vision, along with fundamental understanding of NLP.

The candidate will be responsible for developing and deploying state-of-the-art models and techniques to carry out client projects in the domain of retail, surveillance, manufacturing, process automation and content generation, and deploy them in production environments meeting the desired SLA.

Expectations Responsibilities:

Proactive attitude towards quick adaptability in ongoing tasks.

Develop contrastive, self-supervised, semi-supervised and natural language based learning techniques to boost the performance of computer vision tasks in retail, surveillance, CPG, manufacturing and automation, and extend their functionalities.

Zero-shot and few-shot learning, implementing them to address in-house use cases effectively.

Collaborate on vision language integration, employing cutting-edge vision/graphics and language-based prompt tuning, demonstrate proficiency in open-vocabulary classification, object detection, segmentation and image retrieval tasks.

Follow up with state-of-the-art research in unimodal generative techniques in computer vision- encompassing adversarial networks, cross-attention mechanisms, and latent diffusion modelling based approaches.

Demonstrate expertise in fundamental computer vision tasks, including object detection, segmentation, pose estimation, image captioning, and image/video understanding.

Hands-on experience with PyTorch, TensorFlow for prototyping and deploying models.

Collaborate with cross-functional teams to integrate RD outcomes into practical solutions.

Qualifications Expertise:

Education:

Qualification and academic background is not a barrier for the right candidate with proven skills.

Masters or Ph.D. (completed / degree awaited) in application of Computer Vision, Artificial Intelligence with the aforementioned skills, and a strong inclination for industrial research application will be preferred.

Work Experience:

Prior experience in working with the aforementioned technologies is indispensable. Your previous work experience should preferably be in CV/NLP DL domain, but not mandatory.

Vision Expertise: Demonstrated expertise in fundamental computer vision tasks, like object detection, segmentation, pose estimation, image captioning and image/video understanding.

Technical Skills:

Proficiency in Python and C++ programming is essential. Strong knowledge of PyTorch is required for model development. Exposure to Langchain will be preferred.

Problem-Solving: Strong analytical and problem-solving skills to tackle complex challenges in AI research and development.

Communication: Excellent communication skills, both written and verbal, to articulate research findings and collaborate effectively with cross-functional teams, prepare proposals for client.

If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Employment Type: Full Time, Permanent

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