Data Scientist

14 hours ago

Navi Mumbai, Maharashtra, India Weekday AI Full time ₹ 6,00,000 - ₹ 18,00,000 per year

This role is for one of the Weekday's clients

Min Experience: 3 years

Location: Navi Mumbai

JobType : full-time

We are seeking a highly skilled Data Scientist – AI to design and deploy advanced deep learning systems that uncover actionable insights from diverse data sources, including text, imagery, and time-series datasets. You'll work at the intersection of research and production—building scalable AI pipelines, fine-tuning transformer models, and collaborating closely with quantitative researchers to turn machine learning outputs into meaningful business signals.

Requirements
Key Responsibilities
  • Research, design, and train deep learning models (LLMs, CNNs) to extract and identify pricing or predictive signals from multiple data types.
  • Build and maintain end-to-end AI orchestration pipelines for data ingestion, feature extraction, model training, and real-time inference.
  • Develop scalable MLOps workflows using AWS, Docker, CI/CD, and orchestration tools for automated model deployment, monitoring, and version control.
  • Fine-tune Hugging Face transformer models and integrate them into production-ready AI systems.
  • Architect and manage data processing layers in Python and MongoDB to enable reproducible, high-performance experimentation.
  • Collaborate with quantitative researchers to translate ML model outputs into actionable insights or trading signals.
  • Implement evaluation frameworks to continuously monitor model performance, drift, and reliability.
  • Drive innovation by experimenting with multimodal, self-supervised, and reinforcement learning techniques to enhance predictive capabilities.
What We're Looking For
  • 3–6 years of experience in data science, applied AI, or ML research (exceptional candidates with less experience are encouraged to apply).
  • Strong proficiency in Python, with expertise in PyTorch or TensorFlow.
  • Hands-on experience with transformer and CNN architectures.
  • Familiarity with Hugging Face, AWS SageMaker, or similar ML orchestration platforms.
  • Proven experience in MLOps — building, deploying, and maintaining production-grade ML pipelines.
  • Working knowledge of data engineering tools (e.g., MongoDB, Pandas, NumPy, Airflow, Prefect).
  • Solid mathematical foundation in probability, statistics, and optimization.
  • Excellent software engineering practices — clean, modular code with Git-based version control and CI/CD.
  • A strong sense of curiosity, experimentation, and drive to apply AI solutions to real-world problems.
  • Must be based in or open to relocating to Navi Mumbai.
Skills

Data Science | Deep Learning | Machine Learning | PyTorch | TensorFlow | Hugging Face | AWS | MLOps | NLP | Computer Vision | Model Deployment | Data Engineering

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