9 Vlm Jobs

5+ years of experience in Computer visioning + ML experience. Experience with Vision-Language Models (VLMs) or Multimodal LLMs (e.g., CLIP, BLIP-2, LLaVA Python and hands-on experience with PyTorch, TensorFlow, and OpenCV Required Candidate profile At least 2 vision related projects successfully developed, deployed, and maintained in production environments Strong understanding of Agile methodologies Design and develop multimodal AI systems

Experience with Vision-Language Models (VLMs) or Multimodal LLMs (e.g., CLIP, BLIP-2, LLaVA Background in data visualization or insight generation pipelines (Plotly, Vega-Lite, Dash Python and hands-on experience with PyTorch, TensorFlow, and OpenCV Required Candidate profile At least 2 vision related projects successfully developed, deployed, and maintained in production environments Strong understanding of Agile methodologies Design and develop multimodal AI systems

Job Description: As an experienced professional with 15 to 23 years of expertise in Vision AI Solution, Nvidia, Computer Vision, Media, and Open Stack, you will play a crucial role in defining and leading the technical architecture for vision-based AI systems across edge and cloud environments. Your responsibilities will include designing and optimizing large-scale video analytics pipelines, architecting distributed AI systems, collaborating with cross-functional teams to develop scalable AI solutions, leading efforts in model optimization, integrating multi-modal AI, guiding platform choices, mentoring senior engineers, staying updated with emerging technologies, and contributing to interna...

WFO | Immediate Joiners | NLP/LLM specialist 7+ yrs exp (2+ in LLMs). Skilled in NLP, transformersMOBILE (GPT, BERT, T5), fine-tuning, prompt engineering, text gen, summarization & QA. Python, Hugging Face, SpaCy, model eval & deployment. Required Candidate profile NLP/LLM specialist with expertise in BERT, RoBERTa & GPT models. Skilled in attention mechanisms, embeddings, prompt templates, model training & deployment using Python & Hugging Face.

As an AI Software Engineer 1 , you will be a key contributor to the design, development, and deployment of AI-driven solutions across both Computer Vision and Large Language Model (LLM) domains. You will be responsible for building deep learning models, writing scalable and maintainable code, and integrating these models into production-grade systems. The role demands a strong foundation in AI/ML theory, proficiency in practical deep learning, and a hands-on approach to software development. You will work closely with cross-functional teams to translate business requirements into working AI solutionsranging from real-time vision systems to NLP pipelines and user-facing interfaces that intera...

As a Senior Data Scientist specializing in Large Language Models (LLMs), Vision Language Models (VLMs), Prompt Engineering, and AI Agents, you will be instrumental in the development of a Proof of Concept (POC) project aimed at automating and enhancing test case creation for user stories. Leveraging cutting-edge AI techniques, such as extracting information from images and documents, automated test case generation, and code analysis for testability, you will play a vital role in advancing this innovative project. Your key responsibilities will include developing and deploying advanced AI/ML solutions utilizing LLMs, VLMs, and prompt engineering to automate the creation and refinement of test...

Design AI models using LLMs/VLMs to automate test case creation, extract data from text/images, analyze code for testability, optimize prompts, implement AI agents, and enhance testing workflows with accurate, scalable automation. Required Candidate profile Seeking Data Scientist with 5+ yrs in AI/ML, hands-on with LLMs, VLMs, prompt engineering & AI agents. Skilled in Python, automation, data extraction, code analysis & problem-solving.

LLMs, VLMs, Prompt Engineering & AI Agents POC Project,

Key Responsibilities: Collaborate closely with Machine Learning and Engineering teams on advanced data extraction technologies (e.g., no-OCR, VLM-based extraction) Translate business needs into epics and user stories for development teams Align product goals with company strategy in coordination with Product Management Maintain a well-prioritized product backlog based on business value Work with stakeholders and data analysts to ensure data-driven product decisions Track product progress, performance, and deliverables across sprints Communicate effectively with globally distributed teams and stakeholders Stay updated with agile practices, ML/AI trends, and industry standards Required Experie...