Machine Learning Engineer

  • Full-time

Company Description

Jobs for Humanity is partnering with FIS Global to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: FIS Global

Job Description

Position Type: Full-time Type of Hire: Experienced (relevant combo of work and education) Education Desired: Master's Degree Travel Percentage: 1 - 5% Are you curious, motivated, and forward-thinking? At FIS, we offer an inclusive and diverse work environment where you can contribute to solving challenging issues in financial services and technology. We believe in being part of a team that is open, collaborative, entrepreneurial, passionate, and above all, fun. The Role: We are looking for an ML Engineer to join our Data Science Enablement (DSE) team in the Worldpay Data Strategy & Solutions (DSS) unit. The DSE team is responsible for creating scalable cloud-based solutions for hosting data science models. Your role will involve working at the intersection of Data Science, cloud engineering, and MLOps. You will be instrumental in productionizing real-time prediction models and enabling new data science products. You will also contribute to building and improving microservices solutions and related data flows. Collaboration with Product, Engineering, and other Data Science teams will be crucial in shaping and delivering custom solutions. This role is suitable for experienced ML Engineers, engineering-minded data scientists, and data-minded engineers. What You Bring: - General knowledge of the Data Science lifecycle and Machine Learning fundamentals. - Experience with cloud platforms and typical system components, including CI/CD, automation, database connectivity, and APIs. - Understanding of MLOps and DevOps solutions and best practices. - Ability to design and implement robust engineering solutions and data products. - Familiarity with container technology such as Docker. - Proficiency in Python, Linux, and Git. - Basic understanding of cloud IAM and security aspects. - Bonus if you have experience with payments or banking processes. - Enjoy collaborating with Data Science and Engineering teams to support model implementations. - Excitement and flexibility in learning new tools and technologies. - Exposure to delivering projects using Agile methodology. Background: Master's in Computer Science or related technical discipline, with at least five years of relevant work experience. What We Offer You: - A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities. - A modern, international work environment with a dedicated and motivated team. - A range of professional education and personal development possibilities. - Competitive salary and benefits. - Various career development tools, resources, and opportunities. - The chance to work on some of the most challenging and relevant issues in financial services and technology. Privacy Statement: FIS is committed to protecting the privacy and security of all personal information that we process to provide services. For specific information on our privacy practices, please see our Online Privacy Notice. Sourcing Model: Recruitment at FIS primarily works on a direct sourcing model. We do not accept resumes from recruitment agencies that are not on our preferred supplier list. #pridepass
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