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

Position Type: Full-time Type of Hire: Experienced (relevant combination of work and education) Education Desired: Master's Degree Travel Percentage: 1 - 5%

Are you curious, motivated, and forward-thinking? At FIS, you'll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate, and above all, fun.

The Role:

The Data Science Enablement (DSE) team in the Worldpay Data Strategy & Solutions (DSS) unit is looking for an ML Engineer to join the team. DSE is responsible for creating scalable cloud-based solutions for hosting data science models.

Working at the intersection of Data Science, cloud engineering, and MLOps, your contribution will be key in productionizing real-time prediction models and enabling new data science products.

You will help build and improve existing microservices solutions and related data flows.

You'll interact with Product, Engineering, and other Data Science teams to shape and deliver custom solutions. You're comfortable taking technical ownership of engineering tasks and interested in learning about operational aspects of cloud production systems.

Ideally, you have experience with Data Science and Machine Learning model deployments, automation tools, cloud platforms like AWS, and with data ecosystems in general.

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.
• - Knowledge and hands-on experience with cloud platforms and typical system components including CI/CD, automation, database connectivity, and APIs.
• - Awareness of MLOps and DevOps solutions and best practices.
• - Experience with designing and implementing robust engineering solutions and data products.
• - Good understanding of container technology such as Docker.
• - Comfortable with Python, Linux, Git.
• - Basic understanding of cloud IAM and security aspects.
• - Bonus if you have experience with payments or banking processes.
• - Enjoy working alongside other Data Science and Engineering teams with the goal of supporting model implementations.
• - Excitement and flexibility around learning new tools and technologies.
• - Exposure to delivering projects using Agile methodology.

Background:

Masters in Computer Science or related technical discipline, plus 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 and a dedicated and motivated team.
• - A broad range of professional education and personal development possibilities – FIS is your final career step!
• - A competitive salary and benefits.
• - A variety of career development tools, resources, and opportunities.
• - The chance to work on some of the most challenging, 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 in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model:

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies that are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

#pridepass

Response: Dear [Hiring Manager/Recruiter's Name], I'm writing to express my interest in the ML Engineer position at FIS. I am excited about the opportunity to work with a diverse and inclusive team on challenging financial services and technology projects. I believe that my skills and experience make me a strong fit for this role. Here is a summary of what I bring to the table: - General knowledge of the Data Science lifecycle and Machine Learning fundamentals. - Knowledge and hands-on experience with cloud platforms and typical system components including CI/CD, automation, database connectivity, and APIs. - Awareness of MLOps and DevOps solutions and best practices. - Experience with designing and implementing robust engineering solutions and data products. - Good understanding of container technology such as Docker. - Comfortable with Python, Linux, Git. - Basic understanding of cloud IAM and security aspects. - Bonus if you have experience with payments or banking processes. - Enjoy working alongside other Data Science and Engineering teams with the goal of supporting model implementations. - Excitement and flexibility around learning new tools and technologies. - Exposure to delivering projects using Agile methodology. With a Master's Degree in Computer Science and over five years of relevant work experience, I am confident in my ability to contribute to the success of your team. I appreciate the diverse and inclusive work environment at FIS, where teamwork, collaboration, and fun are valued. I am eager to join a company that offers professional education, personal development opportunities, and a chance to work on challenging and relevant issues in financial services and technology. Thank you for considering my application. I look forward to the opportunity to further discuss how my skills and experience align with the requirements of the ML Engineer position. Sincerely, [Your Name] - General knowledge of the Data Science lifecycle and Machine Learning fundamentals. - Knowledge and hands-on experience with cloud platforms and system components. - Experience with MLOps and DevOps solutions. - Strong engineering and data product implementation skills. - Familiarity with container technology and programming languages like Python. - Understanding of cloud IAM and security. - Bonus points if you have experience in payments or banking. - Enjoy working with diverse Data Science and Engineering teams. - Excitement for learning new tools and technologies. - Background: Masters in Computer Science or related field with at least five years of work experience. - Competitive salary and benefits. - Opportunities for professional and personal development. - Chance to tackle challenging issues in financial services and technology. - Commitment to privacy and security. - Direct sourcing recruitment model used. Please note that FIS does not accept resumes from recruitment agencies not on the preferred supplier list.