Job Description

Job Title: Data Scientist – AI Products & Deployment

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Department: Technology / Data Science

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Role Overview

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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.

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Key Responsibilities

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- AI Product Development: Design, develop, and validate machine learning and deep learning models tailored to financial and operational use cases.
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- End-to-End Deployment: Own the deployment pipeline for AI models, ensuring seamless integration into existing systems via APIs, microservices, or embedded applications.
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- Hybrid Infrastructure Management:
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- Deploy and optimize models on major cloud platforms (e.g., AWS, Azure, GCP).
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- Manage and secure model deployments on on-premise servers , ensuring compliance with data sovereignty and security protocols.
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- Collaboration: Work closely with software engineers, DevOps teams, and business stakeholders to translate business problems into scalable AI solutions.
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- Performance Optimization: Optimize model inference speed and resource utilization for both cloud and on-premise environments.
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Required Qualifications

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- Education: B.Tech in Computer Science, Data Science, Statistics, or a related field.
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- Experience: 3+ years of experience in data science with a proven track record of shipping AI products to production.
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- Technical Skills:
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- Proficiency in Python, AI system design
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- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
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Other optional skillsets :

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- Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes).
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- Experience with cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI).
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- Experience deploying models on Linux-based on-premise servers (including containerization and orchestration).
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- Soft Skills: Strong problem-solving abilities, attention to detail, and excellent communication skills for cross-functional collaboration.
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Preferred Qualifications

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- Experience in the financial services or fintech industry.
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- Experience with CI/CD pipelines for machine learning models.
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- Familiarity with edge AI or low-latency deployment scenarios.
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📌 Data Scientist - AI Products & Deployment (Mumbai)
🏢 PhillipCapital India
📍 Mumbai