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Job Description
Job Title: Data Scientist – AI Products & Deployment
Department: Technology / Data Science
Role Overview
Phillip Capital is seeking an experienced Data Scientist with a strong 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.
Skills
PythonData ScienceDeep LearningMachine LearningData ScientistAiMlPytorchTensorflowScikit-learnMlopsMlflowKubeflowSagemakerVertex AiModel InferenceAirflowIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Since 1975, the PhillipCapital network has grown into an integrated Asian financial house with a global presence that offers a full range of quality and innovative services to retail and high net worth individuals, family offices, corporate and institutional customers. Our comprehensive suite of financial products and services includes broking in securities, futures, foreign exchange, bonds, precious metals and commodities, unit trusts, contracts for difference, exchange traded funds; fund management, managed accounts, insurance planning, regular savings plans, investment research, equity financing and property consultancy.
Institutions can also benefit from our corporate finance and advisory services as well as information technology solutions. With more than 3,500 employees and over 1 million clients worldwide, our assets under custody/management totals to more than USD 30 Billion with shareholders' funds in excess of USD 1 Billion. PhillipCapital (with headquarters in Singapore) operates in the financial hubs of 16 countries and regions, including offices in Malaysia, Cambodia, Indonesia, Thailand, Hong Kong, China, Japan, India, Sri Lanka, Australia, UAE, UK, France, Turkey and USA.
Foreign Portfolio investors refers to Foreign Institutional investors (FIIs) or their sub-accounts or qualified foreign investors (QFIs) who are permitted to hold upto 10% stake in a company. FPI align to nomenclature of categorizing investments of foreign investors in line with international practice. FPI's generally participated through the stock markets and gets in and out of a particular stock at much faster frequencies.
We regularly hold conferences, plant visits, road shows and schedule corporate meeting for the benefit of our clients. Timely interpretation & impact of economic data is used beneficially by our clients. In the derivatives segment we were amongst the first to trade derivatives contracts in India on launch and are rated amongst the top by our clients. Establishing our leadership in the institutional space, we provide our clients access to advanced & efficient technology for trade execution - DMA, FIX, Co-Location facility, & customised Algos etc.
Our clients benefit from our local expertise, international perspective, and scale, while institutional investors can access our team of highly regarded equity & derivatives research analysts and top class execution capabilities. Our research team provides in-depth analysis and ongoing research coverage of over 160 companies in 14 sectors.
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