Job Title: Data Scientist – AI Products & Deployment

Department: Technology / Data Science

Role Overview
Phillip Capital is seeking an experienced Data Scientist with a robust focus on AI product lifecycle management . The ideal candidate should have design and build advanced AI models and also possess the engineering rigor to deploy, scale, and maintain these solutions in both cloud-based and on-premise server environments. You will bridge the gap between data science research and production-grade software engineering.
Key Responsibilities
AI Product Development: Design, develop, and validate machine learning and deep learning models tailored to financial and operational use cases.
End-to-End Deployment: Own the deployment pipeline for AI models, ensuring seamless integration into existing systems via APIs, microservices, or embedded applications.
Hybrid Infrastructure Management:
Deploy and optimize models on major cloud platforms (e.g., AWS, Azure, GCP).
Manage and secure model deployments on on-premise servers , ensuring compliance with data sovereignty and security protocols.
Collaboration: Work closely with software engineers, DevOps teams, and business stakeholders to translate business problems into scalable AI solutions.




Performance Optimization: Optimize model inference speed and resource utilization for both cloud and on-premise environments.
Required Qualifications
Education: B.Tech in Computer Science, Data Science, Statistics, or a related field.
Experience: 3+ years of experience in data science with a proven track record of shipping AI products to production.
Technical Skills:
Proficiency in Python, AI system design
Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Other optional skillsets :
Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes).
Experience with cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI).
Experience deploying models on Linux-based on-premise servers (including containerization and orchestration).
Soft Skills: Strong problem-solving abilities, attention to detail, and excellent communication skills for cross-functional collaboration.
Preferred Qualifications
Experience in the financial services or fintech industry.
Experience with CI/CD pipelines for machine learning models.
Familiarity with edge AI or low-latency deployment scenarios.

📌 Data Scientist – AI Products & Deployment (Mumbai)
🏢 PhillipCapital India
📍 Mumbai