Data Scientist - AI

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