Loading...
Entry LevelFull-timeMachine LearningData Science
Salary Range
$12,750 - $17,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
Sutherland is seeking a Professional Services Engineer to play a key role in the implementation, customization, and integration of our Fraud Detection and Anti-Money Laundering solutions from NICE Actimize Premier. This role requires a strong technical background in software development, customer interaction, and project execution. The ideal candidate will work closely with cross-functional teams, including R&D, Data Science, and Customer Support, to deliver high-quality solutions to financial institutions.
The Professional Services Engineer performs a wide range of duties including some or all the following:
• Develop, configure, and implement software features according to design documents and enterprise software standards.
• Oversee the technical planning and execution of customer projects, ensuring successful deployment.
• Engage with customers to address technical queries, provide support during user acceptance testing, and manage expectations.
• Identify and resolve technical project dependencies and risks, collaborating with internal teams as necessary.
• Work with Engineering teams to develop 3rd party integrations and optimize software deployment processes.
• Collaborate with Data Scientists to create and deploy Machine Learning models.
• Lead recurring technical discussions, presenting key updates, risks, and resolutions to stakeholders.
• Provide deployment progress updates to management using reporting tools and dashboards.
• Occasionally work on-site with clients or in different time zones, as required.
Free to sign up. Takes 30 seconds.
About Sutherland
Sutherland is a global leader in digital transformation and technology services, specializing in helping organizations navigate the complexities of modern business through innovative solutions. Headquartered in the United States, the company has established a strong presence across multiple continents, offering expertise in automation, artificial intelligence, and customer experience management. Founded in 1998, Sutherland has grown from a regional service provider into a multinational corporation, driven by a commitment to leveraging cutting-edge technology to solve real-world business challenges. The company operates at the intersection of technology and customer engagement, serving clients across various industries including financial services, healthcare, and telecommunications. Sutherland’s core offerings include robotic process automation (RPA), artificial intelligence (AI) solutions, and customer experience (CX) platforms designed to enhance operational efficiency and customer satisfaction. Their services are characterized by a focus on scalability, integration with existing systems, and measurable outcomes. Key features of their solutions include advanced analytics, omnichannel support, and bespoke consulting to tailor strategies to client-specific needs. The company primarily targets large enterprises and mid-sized businesses seeking to streamline processes, reduce costs, and improve customer interactions through technology-driven initiatives. Their solutions are particularly valued by organizations undergoing digital transformation or looking to optimize their customer service operations. Sutherland has achieved significant recognition in the industry, including multiple awards for innovation in automation and customer experience. The company is positioned as a trusted partner for businesses aiming to harness the power of AI and automation to drive growth and efficiency. A notable aspect of Sutherland’s value proposition is its emphasis on ethical AI and sustainable practices, ensuring that technological advancements align with corporate responsibility and long-term business goals. This commitment, combined with a global delivery model and a highly skilled workforce, enables Sutherland to deliver transformative results for its clients while maintaining a competitive edge in the rapidly evolving tech services landscape.
