Freelance Computer Vision Engineer

2 days ago

Thrissur, India Leading MNC Full time

Looking for a Freelance Computer Vision Engineer to join a team of rockstar developers. The candidate should have a minimum of 10+ yrs. of experience. There are multiple openings. If you're looking for freelance/ part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers). Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q4 2025 Key Responsibilities Build, train, fine-tune, and evaluate multimodal ML models across Text+Vision, Text+Audio, or Vision+Audio combinations. Develop end-to-end multimodal pipelines , integrating preprocessing, model training, optimization, and deployment. Work extensively on computer vision tasks including image processing, object detection, and segmentation. Experiment with and implement modern open-source multimodal architectures (CLIP, BLIP, LLaVA, VLM-based frameworks). Own the design and execution of large-scale training runs on multimodal datasets. Collaborate with product and engineering teams to integrate models into production-grade systems. Conduct research-style explorations to push advancements in generative AI and multimodal learning. Maintain high coding standards and write scalable, efficient, and well-documented Python/ML code. Must-Have Skills 10+ years of experience in Machine Learning / Deep Learning; minimum 2+ years in multimodal ML or CV or audio ML . Strong understanding of multimodal ML workflows , including dataset curation, tokenization, alignment, and cross-attention mechanisms. Hands-on expertise in Vision ML : image processing, object detection, segmentation, embeddings. Practical experience in model fine-tuning , prompt tuning, and training multimodal architectures. Proficiency in PyTorch or TensorFlow for deep learning model development. Solid command of Python , data structures, ML pipelines, and optimization techniques. Familiarity with multimodal benchmarks, datasets, and open-source models (CLIP, BLIP, LLaVA, VLMs). Experience with GPU-based training, distributed training, or LLM/vision foundation models. What we need -~35 hours of work per week. -100% remote from our side -You will be paid out every month. -Min 10yrs of experience -Please apply only if you have a 100% remote job currently -If you do well, this will continue for a long time

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