We Believe in Better!

We are a global information technology company that builds high-performance, security-centric solutions that can help change the world. Enhancing people's lives through secure, reliable advanced technology is our vision.

At Unisys, we believe in better! Here, you have the opportunity to learn new skills, apply your expertise, and solve complex problems with cutting edge technologies and solutions. You are part of a global diverse team that supports you, drives change, and delivers successful results consistently.

Our associates are at the forefront of everything we do, driving our clients' successes while giving back to communities and making this world a safer and more secure place to live and work. Our success is a direct result of the work of our people who live and breathe our .Simply put, we believe in better lives. Join us!

Learn more about Unisys and our key solution offerings: , , ,

What success looks like in this role:

• In this role you will provide thought leadership to an entrepreneurial team responsible for designing, developing, testing and deploying Machine Learning models for existing and new product offerings.
• You will collaborate with a wide range of stakeholders to develop ways to meet business and technical objectives, utilizing latest techniques and tools.
• You will drive business results with data-based insights.

You will be successful in this role if you have:

• Bachelor's degree in Computer Science, Math, or related field. Master's or advanced degree preferred.
• 5 years of related experience, including hands-on experience applying machine learning techniques to build models integrated into applications
• Key Skills:
• Experience building and running stable, scalable pipelines to structure and to integrate Big Data.
• Experience with elastic storage and categorizing data in a Data Lake repository
• Experience with designing, building, and deploying MLOps pipelines
• Experience using statistical computer languages (R, Python, SQL, etc.)
• Strong analytic and algorithmic skills
• Experience using a wide variety of machine learning algorithms and approaches
• Technical experience such as:
• Knowledge of a variety of techniques and when/how to apply to problems: Statistical modeling, machine learning, deep learning, natural language processing, data mining, reinforcement learning, etc.;
• Developing repeatable, dynamic & scalable models that are seamlessly incorporated into data analytic products;
• Building and running stable, scalable pipelines for large scale data
• Statistical computer languages (R, Python, SQL, etc.)
• Cloud computing experience in AWS or Azure or GCP.

* Proactive, analytical and capable of influencing and providing decision support
* Team Player, leader and mentor.
* Excellent written and verbal communication skills with good command over English language