Software Engineer with AI

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

Software Engineer (Remote)

We are seeking a highly motivated and talented Software Engineer with a passion for Artificial Intelligence to join our innovative team at SS&C Technologies, Inc. This role will involve designing, developing, and deploying AI-powered solutions to enhance our financial technology products and services.

What you will get to do

* Design, develop, test, and deploy robust and scalable software solutions incorporating AI/Machine Learning models.
* Collaborate with product managers, data scientists, and other engineers to define requirements and deliver high-quality AI-driven features.
* Implement and optimize machine learning algorithms, including but not limited to natural language processing, predictive analytics, and computer vision.
* Develop and maintain data pipelines for AI model training and inference.
* Participate in code reviews, ensuring adherence to coding standards and best practices.
* Research and evaluate new AI technologies and methodologies to continuously improve our offerings.
* Troubleshoot and debug software issues, providing timely and effective resolutions.
* Contribute to the overall architecture and design of AI systems.

What you will Bring

* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
* 3+ years of professional experience in software development with a focus on AI/ML applications.
* Proficiency in at least one major programming language such as Python, Java, or C++.
* Strong understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
* Experience with data manipulation and analysis using libraries like Pandas and NumPy.
* Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
* Experience with version control systems (e.g., Git).
* Excellent problem-solving, analytical, and communication skills.
* Ability to work effectively both independently and as part of a collaborative team.

 

 

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 offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.

 

 

Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.

Maryland: The expected base salary for the position is between 80000 USD to 100000 USD. Massachusetts: The expected base salary for the position is between 80000 USD to 10000 USD. Minnesota: The expected base salary for the position is between 80000 USD to 110000 USD. Hawaii: The expected base salary for the position is between 80000 USD to 110000 USD. Maine: The expected base salary for the position is between 80000 USD to 110000 USD.

 

 

In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company’s discretion.

 

 

 

 

Applications will be accepted on an ongoing basis until the position is filled.

 

 

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.