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Data Scientist (Gen AI)

Data Scientist (Gen AI)

Recrodombivli, maharashtra, in
3 days ago
Job description

Location : Hybrid / Onsite

Team : AI / ML R&D

Type : Full-Time

We’re looking for a highly skilled, hands-on Data Scientist with 4–10 years of experience in applied AI / ML to join our fast-paced, research-driven team. This role demands deep expertise in transformer architectures along with strong fundamentals in model training, fine-tuning, and optimization.

You will work across text, audio, and video modalities , with the opportunity to specialize deeply in one area while maintaining the versatility to experiment across others. If you thrive in a startup-style, high-velocity R&D environment and enjoy taking ownership from architecture to deployment, this role is for you.

What You'll Do

Model Development & Fine-Tuning

  • Run end-to-end experiments on transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF / SFT, multimodal models).
  • Prototype, benchmark, and push the limits of emerging generative AI techniques.

Domain-Specific Applications

Audio

  • Lip-sync accuracy
  • Emotional delivery (whispering, shouting, crying)
  • Regional language model support

    • Video

  • Character & scene consistency
  • Quality outputs comparable to Veo3 / Sora
  • Motion smoothness & frame coherence

    • Text

  • Extend LLMs to handle regional languages
  • Build domain-adapted, fine-tuned models

    • Evaluation & Optimization

  • Build automated evaluation pipelines for audio, video, and image quality scoring.
  • Optimize trade-offs between speed, quality, and compute efficiency.

    • Cross-Modality Integration

  • Experiment with audio–video synchronization.
  • Integrate background score generation and text-to-video alignment.
  • Push the boundaries of multimodal generative systems.

    • Research & Experimentation

  • Stay ahead of rapidly evolving AI models, tools, and techniques.
  • Test architectural variations and scaling strategies for production-ready systems.

    • Ownership & Execution

  • Take complete ownership of projects from idea → prototype → deployment.
  • Demonstrate strong problem-solving, accountability, and first-principles thinking.

    • What You'll Need

    Experience

  • 4–10 years in applied ML / Data Science with significant generative AI experience.

    • Core Fundamentals

  • Deep understanding of transformer architectures, training dynamics, and model optimization.
  • Experience with LLMs, diffusion models, and multimodal architectures.

    • Modality Expertise

  • Depth in at least one modality (text, audio, or video) with end-to-end project delivery.

    • Technical Skills

  • Strong coding skills in Python .
  • Expertise with frameworks like PyTorch or TensorFlow .
  • Experience with deployment frameworks (e.g., FastAPI , model servers).

    • Evaluation Experience

  • Ability to design and implement automated evaluation systems for generative outputs.

    • Adaptability

  • Comfort with rapid experimentation and learning new tools, models, and techniques.
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    Data Scientist • dombivli, maharashtra, in

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