Senior Machine Learning Engineer
Fiserv
Our software engineers at Fiserv bring an open and creative mindset to a global team developing mobile applications, user interfaces and much more to deliver industry-leading financial services technologies to our clients. Our talented technology team members solve challenging problems quickly and with quality. We're seeking individuals who can create frameworks, leverage developer tools, and mentor and guide other members of the team. Collaboration is key and whether you are an expert in a legacy software system or are fluent in a variety of coding languages you're sure to find an opportunity as a software engineer that will challenge you to perform exceptionally and deliver excellence for our clients.
- Full-time
- Entry, Mid, Senior
- Yes (occasional), Minimal (if any)
- Glassdoor: 64%
Responsibilities
Calling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Senior Machine Learning EngineerWhat does a successful Senior Machine Learning Engineer do at Fiserv?
Harnesses advanced analytics and machine learning to derive AI Ops initiatives, optimizing AI operations and system performance. This role involves collaborating with cross-functional teams to identify business needs and develop data-driven solutions that enhance operational efficiency and decision-making. By deploying and maintaining AI solutions, the Senior ML Engineer ensures they operate effectively across the organization.
What you will do:
- Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance.
- Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
- Analyze large datasets to extract actionable insights and support strategic decision-making.
- Design and conduct experiments to validate model performance and improve operational processes.
- Monitor and maintain AI models in production to ensure effective and efficient operation.
- Communicate findings and recommendations to stakeholders through clear visualizations and presentations.
What you will need to have:
- 10+ years of experience in data science, focusing on AI and machine learning applications.
- 8+ years of experience in programming with Python, R, or Scala and using data manipulation libraries like Pandas, Numpy.
- 7+ years of experience working with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- 6+ years of experience with cloud platforms like AWS or Azure and big data technologies such as Hadoop, Spark.
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, and/or equivalent military experience.
What would be great to have:
- 5+ years of experience designing and deploying end-to-end machine learning pipelines in production environments.
- 4+ years of expertise in natural language processing (NLP) and computer vision techniques.
- 3+ years of knowledge in reinforcement learning and its practical applications.
- 4+ years of experience with ML Ops tools and practices for continuous integration and deployment of machine learning models.
- 3+ years of familiarity with regulatory and compliance considerations for AI and machine learning solutions.
This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Maryland, New York, Nevada, Rhode Island or Washington.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.
Thank you for considering employment with Fiserv. Please:
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.
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Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
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