Applied Scientist

Applied Scientist – Computational Vision (Vision LLMs & Video Intelligence)

Company Overview:

Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.

At the core of our offerings are AI agents—autonomous systems that analyze multimodal data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and empower government entities to enhance security, intelligence, and operational efficiency.

Job Description:

We are seeking a highly-motivated and innovative Applied Scientist to join our research team in Mumbai, India to drive cutting-edge research and development. In this role, you will spearhead the development of intelligent computer vision solutions leveraging real-time video data, vision language models (VLLMSs), and advanced architectures. Your work will focus on solving complex real-world problems using multimodal learning, video understanding, self-supervised techniques, and LLM-enhanced vision models. You will have the opportunity to work at the intersection of vision, language, and reasoning, driving research and innovation from ideation through deployment.

Key Responsibilities:

• Research and build state-of-the-art computer vision systems with a focus on real-time video analytics, video summarization, object tracking, and activity recognition.
• Develop and apply Vision-Language Models (VLMs) and multimodal transformer architectures for deep semantic understanding of visual content.
• Apply self-supervised, zero-shot, and few-shot learning techniques to enhance model generalization across varied video domains.
• Explore and optimize LLM prompting strategies and cross-modal alignment methods for improved reasoning over vision data.
• Contribute to research publications, patents, and internal IP assets in the area of vision and multimodal AI.

Required Qualifications:

• Masters in Computer Science, Computer Vision, Machine Learning, or a related discipline with 2+ years of experience leading applied research or product-focused CV/ML projects.
• Expertise in modern computer vision architectures (e.g., ViT, SAM, CLIP, BLIP, DETR, or similar).
• Experience with Vision-Language Models (VLMs) and multimodal AI systems.
• Strong background in real-time video analysis, including event detection, motion analysis, and temporal reasoning.
• Experience with transformer-based architectures, multimodal embeddings, and LLM-vision integrations.
• Proficiency in Python and deep learning libraries like PyTorch or TensorFlow, OpenCV
• Experience with cloud platforms (AWS, Azure) and deployment frameworks (ONNX, TensorRT) is a plus.
• Strong problem-solving skills, with a track record of end-to-end ownership of applied ML/CV projects.
• Excellent communication and collaboration skills, with the ability to work in cross-functional teams.

Why Join Us:

Innovative Environment: Be part of a team that's at the forefront of technological innovation, utilizing GenAI and ML to create groundbreaking solutions. Collaborative Culture: Work in a collaborative environment where your ideas are valued, and you have the opportunity to make a real impact. We provide a flexible work environment. Professional Growth: We're committed to your professional growth and development, offering opportunities for learning and advancement. Competitive Compensation: Enjoy a competitive compensation and benefits package, including medical insurance.

We offer a competitive salary, benefits package, and opportunities for growth and advancement within the company. If you are an innovative and results-driven leader, we encourage you to apply for this exciting opportunity.

Accrete is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.