Data Scientist (Gen AI)

Job not on LinkedIn

August 15

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Proximity Works

Artificial Intelligence • SaaS • Enterprise

Proximity Works is a global tech company specializing in Artificial Intelligence and SaaS solutions. They focus on building high-performance software that leverages cutting-edge AI technologies to enhance productivity and transform business operations. Their services include AI-powered SaaS solutions, UX design, and product engineering to help companies scale effectively. Proximity Works collaborates with industry giants like Nasdaq, Disney, and ESPN, offering expertise in AI strategy, machine learning, and high-caliber product development.

📋 Description

• We’re seeking a highly skilled, execution-focused Data Scientist with 4–10 years of experience to join our team. This role demands hands-on expertise in fine-tuning and deploying generative AI models across image, video, and audio domains — with a special focus on lip-sync, character consistency, and automated quality evaluation frameworks. You will be expected to run rapid experiments, test architectural variations, and deliver working model iterations quickly in a high-velocity R&D environment. • Run end-to-end fine-tuning experiments on state-of-the-art models (Flux family, LoRA, diffusion-based architectures, context-based composition). • Develop and optimize generative AI models for audio generation and lip-sync, ensuring high fidelity and natural delivery. • Extend current language models to support regional Indian languages beyond US/UK English for audio and content generation. • Enable emotional delivery in generated audio (shouting, crying, whispering) to enhance realism. • Integrate and synchronize background scores seamlessly with generated video content. • Work towards achieving video quality standards comparable to Veo3/Sora. • Ensure consistency in scenes and character generation across multiple outputs. • Design and implement an automated objective evaluation frameworks to replace subjective human review — for cover images, video frames, and audio clips. Implement scoring systems that standardize quality checks before editorial approval. • Run comparative tests across multiple model architectures to evaluate trade-offs in quality, speed, and efficiency. • Drive initiatives independently, showcasing high agency and accountability. Utilize strong first-principle thinking to tackle complex challenges. • Apply a research-first approach with rapid experimentation in the fast-evolving Generative AI space.

🎯 Requirements

• 4-10 years of experience in Data Science, with a strong focus on Generative AI. • Familiarity with state-of-the-art models in generative AI (e.g., Flux, diffusion models, GANs). • Proven expertise in developing and deploying models for audio and video generation. • Demonstrated experience with natural language processing (NLP), especially for regional language adaptation. • Experience with model fine-tuning and optimization techniques. • Hands-on exposure to ML deployment pipelines (FastAPI or equivalent). • Strong programming skills in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch). • Experience in designing and implementing automated evaluation metrics for generative content. • A portfolio or demonstrable experience in projects related to content generation, lip-sync, or emotional AI is a plus. • Exceptional problem-solving skills and a proactive approach to research and experimentation.

🏖️ Benefits

• Best in class salary: We hire only the best, and we pay accordingly. • Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field. • Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

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