Advanced Machine Learning Engineer

1 week ago


thane, India beBeeDataScientist Full time

Job Description:As a highly skilled Data Scientist, you will play a key role in driving the development and deployment of cutting-edge AI/ML models. With 4–10 years of experience in applied data science, you will bring deep expertise in transformer architectures and strong fundamentals in model training, fine-tuning, and optimization.You will work across various modalities (text, audio, video) with the flexibility to specialize in one domain but also adapt quickly to experiment across others.The ideal candidate thrives in a fast-paced R&D environment, is execution-focused, and demonstrates ownership from architecture to deployment. You will run rapid experiments, iterate on state-of-the-art models, and push the boundaries of generative AI in lip-sync, character consistency, audio realism, and video quality — with a research-first, problem-solving mindset.Responsibilities:Model Development & Fine-Tuning: Run end-to-end experiments on transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF/SFT, multimodal models).Domain-Specific Applications:Audio: Lip-sync, emotional delivery (shouting, whispering, crying), regional language support.Video: Scene/character consistency, quality benchmarks comparable to Veo3/Sora.Text: Extend LLMs to handle regional languages and domain-specific adaptation.Evaluation & Optimization: Design automated evaluation frameworks for objective quality scoring (images, video frames, audio clips). Balance trade-offs in speed, quality, and efficiency.Cross-Modality Integration: Experiment with audio-video synchronization, background score integration, and text-to-video alignment.Research & Experimentation: Stay ahead of rapidly evolving models and tools, testing architectural variations and scaling solutions for production use.Ownership & Execution: Drive initiatives independently with strong problem-solving, accountability, and first-principles thinking.Requirements:Experience: 4–10 years in applied Data Science/ML with a strong focus on generative AI.Core Fundamentals: Solid grasp of transformer architectures, LLMs, training dynamics, and optimization techniques.Modality Depth: Expertise in at least one modality (text, audio, or video), with demonstrable end-to-end project experience.Hands-On Skills: Strong coding and debugging ability in Python, with deep learning frameworks (PyTorch, TensorFlow).Deployment Knowledge: Experience with ML pipelines (FastAPI or similar) for inference and deployment.Evaluation Metrics: Proven ability to design/implement automated evaluation methods for generative outputs.Adaptability: Ability to experiment quickly with new tools, libraries, and models in a dynamic environment.Benefits: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.About Us:As a global leader in technology, design, and consulting, we are trusted by some of the biggest Sports, Media, and Entertainment companies in the world. Our team is growing quickly, and your impact on our success will be huge. You will have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.



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