Data Scientist

23 hours ago


Navi Mumbai, India Weekday AI Full time

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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