Manager, IT​/Tech

Job Summary:

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. You’ll 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.

Job Title:

Manager

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, Paddle

OCR) 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-efficient 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 Graph

QL 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 Dev Ops, 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:

- Bachelor’s or master’s 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, Postgre

SQL, and MySQL.
- Expertise in Dev Ops practices, including Docker, Kubernetes, and CI/CD tools like Git Hub 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.

Location:

Hyderabad (Hybrid Work Model)