Machine Learning Engineer
Machine Learning Engineer
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Job Description
As a leading financial services and healthcare technology company based on revenue SS&C is headquartered in Windsor Connecticut and has 27000 employees in 35 countries. Some 20000 financial services and healthcare organizations from the worlds largest companies to small and mid-market firms rely on SS&C for expertise scale and technology.
Job Description
Role Overview
SS&C is seeking a Machine Learning Engineer to join its Innovation team driving the exploration and application of advanced AI and ML technologies across our financial services product landscape. This role will focus on designing building and deploying intelligent systems that solve real-world problems across domains like Funds Wealth and Life & Pensions.
As part of the Innovation function you will work closely with product managers data scientists software engineers and business stakeholders to develop machine learning models integrate them into scalable systems and contribute to the evolution of SS&Cs next-generation product offerings.
Key Responsibilities
- Develop and deploy machine learning models and pipelines to support new product features or internal efficiency tools.
- Collaborate with data scientists to translate prototypes into production-ready systems.
- Work with engineering teams to integrate ML components into microservice-based architectures.
- Optimize model performance retraining strategies and monitoring in production.
- Support research into emerging AI/ML methods including NLP generative AI and time-series forecasting.
- Ensure models are robust explainable and compliant with industry and regulatory standards.
- Maintain documentation and contribute to knowledge sharing within the innovation and engineering community.
Required Skills & Experience
- Proficiency in Python and popular ML libraries (e.g. scikit-learn TensorFlow PyTorch).
- Solid understanding of software engineering principles APIs and containerization (e.g. Docker Kubernetes).
- Experience deploying ML models into production environments using MLOps tools and practices.
- Strong problem-solving skills and a collaborative mindset.
- Experience working with structured and unstructured financial datasets is a plus.
Preferred Qualifications
- Degree in Computer Science Engineering Data Science or related field.
- Experience in financial services particularly asset management funds or wealth technology.
- Exposure to cloud platforms (e.g. AWS SageMaker Azure ML).
- Familiarity with regulatory considerations around AI (e.g. explainability fairness GDPR).
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.
Employment Type
Full-Time
