Data Platform Lead

As a Data Expert at SS&C, you will play a key role in the Data Platform, shaping hedge fund administration technology, streamlining daily workflows, and enhancing reporting for fund accountants, investment managers, clients, and investors. Youll be part of a dedicated and passionate team driven by intellectual curiosity, problem-solving, and a commitment to delivering impactful solutions. We seek capable leaders eager to learn new technologies, embrace best practices, and foster a collaborative, fun work environment. Join us to grow and learn while practicing continuous integration and delivery, leveraging the agile methodology, and building high-quality, valuable features using a test-driven approach. **Key Responsibilities:** - Lead the development of robust, high-performance web and generative AI applications. - Build and deploy GenAI solutions leveraging Retrieval-Augmented Generation (RAG) pipelines for intelligent document querying, summarization, and semantic search. - Extract, structure, and process data from complex documents (PDFs, images, scanned forms) using integrated OCR engines (e.g., Tesseract, PaddleOCR) and vision-language models. - Develop RAG-based GenAI applications using tools like Lang Chain and Llama Index, and work with vector databases (e.g., FAISS, Weaviate) for efficient embedding-based retrieval. - Integrate OCR, LLMs, and vector search into business applications to automate the extraction, understanding, and processing of unstructured content. - Design, train, and optimize both Small Language Models (SLMs) and Large Language Models (LLMs) for domain-specific applications, ensuring efficiency and high performance. - Develop scalable training pipelines leveraging methods such as supervised fine-tuning, reinforcement learning from human feedback (RLHF), prompt tuning, parameter-effective fine-tuning (e.g., Lora, adapters), and knowledge distillation. - Fine-tune, evaluate, and deploy language models using advanced techniques like quantization, continual learning, and model distillation to meet evolving business requirements. - Analyze and monitor model outputs for quality, bias, and safety, iterating to improve accuracy and model alignment with user and business needs. - Architect, design, and implement scalable and secure solutions aligned with business objectives. - Mentor and guide a team of developers, fostering a culture of continuous learning and improvement. - Design and maintain APIs, including RESTful and GraphQL interfaces, ensuring seamless data exchange with third-party services. - Implement and maintain CI/CD pipelines, utilizing automation tools for seamless deployment. - Collaborate with cross-functional teams, including DevOps, Security, Data Science, and Product Management. - Optimize application performance by efficiently managing resources, implementing load balancing, and optimizing queries. - Ensure compliance with industry security standards such as GDPR. - Stay updated with emerging technologies, especially in Generative AI, Machine Learning, cloud computing, and microservices architecture. **Required Qualifications:** - Bachelors or masters degree in computer science, Engineering, or a related field. - 3+ years of hands-on experience in AI & Python development, with expertise in Django, Flask, or FastAPI. - Ability to design and build end-to-end applications and API integrations - Proven experience with large language models (LLMs) and AI model development - Experience with developing retrieval-augmented generation (RAG). - Experience with GenAI tools like Lang chain, Llama Index, Lang Graph, and open-source Vector DBs. - Exposure to prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. - Exposure to SLMs. - Experience with supervised fine-tuning, reinforcement learning from human feedback (RLHF), prompt tuning, parameter-efficient fine-tuning (e.g., Lora, adapters), and knowledge distillation. - Experience with relational databases such as MS SQL Server, PostgreSQL, and MySQL. - Expertise in DevOps practices, including Docker, Kubernetes, and CI/CD tools like GitHub Actions. - Deep understanding of microservices architecture and distributed computing principles. - Strong knowledge of security best practices in software development. - Familiarity with data analytics and visualization tools such as Snowflake, Looker, Tableau, or Power BI. - Excellent problem-solving skills and the ability to work independently and within a team. - Strong communication and stakeholder management skills. As a Data Expert at SS&C, you will play a key role in the Data Platform, shaping hedge fund administration technology, streamlining daily workflows, and enhancing reporting for fund accountants, investment managers, clients, and investors. Youll be part of a dedicated and passionate team driven by intellectual curiosity, problem-solving, and a commitment to delivering impactful solutions. We seek capable leaders