Principal Data Engineer

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Principal Data & ML Engineer

Locations:  Hyderabad, India

Get To Know Us:

• We’re looking for a Principal Data & ML Engineer to design, build, and operationalize machine learning platforms and pipelines. This role will lead the development of model lifecycle infrastructure, cloud-native ML workflows, and automated deployment processes while mentoring junior team members and promoting best practices in ML operations.
•  SS&C Intralinks is a global technology provider of inter-enterprise content management and collaboration solutions. Our products serve the enterprise collaboration and strategic transaction markets, enabling the exchange, control, and management of information between organizations.
• SS&C is leading the way.  We continue to look for todays and tomorrow’s brightest talent, those that embody a spirit to improve not only their lives, but those around them. From college students to seasoned and experienced professionals, we encourage you to apply. SS&C prides itself on hiring diverse, honest, dynamic individuals, who value collaboration, accountability, and innovation to name a few. 

Why You Will Love It Here!

• Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans
• Your Future: Provident Fund
• Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
• Your Wellbeing: Mediclaim, Term Life Insurance, Accidental Coverage, Employee Assistance Program, Parental Leave
• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
• Training: Hands-On, Team-Customized, including SS&C University
• Extra Perks: Diwali voucher, Monthly remunerated RnR program

What You Will Get To Do:

• Build scalable, self-service ML model deployment pipelines.
• Design cloud-native ML workflows aligned with organizational strategy.
• Develop tools for model development, deployment, monitoring, and reporting.
• Create RESTful APIs for model lifecycle management.
• Collaborate with Data Scientists and Engineers to operationalize ML solutions.
• Design and maintain deployment infrastructure, CI/CD pipelines, and automated ML workflows.
• Lead methodology improvements and provide technical guidance to teams.

What You Will Bring:

• Strong Python programming with frameworks such as Flask, Django, FastAPI, or Celery.
• Experience with ML SDLC, microservices, and productionizing Python/Java applications.
• Hands-on experience with AWS (EC2, S3, Data Lake), Kubernetes, and CI/CD tools (Jenkins, Terraform, Splunk, Grafana).
• Familiarity with ML frameworks (PyTorch, Keras, scikit-learn) and data/ML pipelines.
• RESTful API development and containerized deployments (Docker/Kubernetes).
• Experience delivering scalable ML models in production and collaborating with cross-functional teams.
• Linux proficiency and software engineering best practices.
• Experience in Databases like Mongo, Postgres, Milvus, chroma, pinecone etc

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website @ www.ssctech.com/careers.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.