Data Scientist

Company Description

IFS is a billion-dollar revenue company with 6000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters–at the Moment of Service™.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS

Job Description

This role is all about hands-on technical prowess. You’ll be individual contributor, working in a team with autonomy, accountability, and technical brilliance. Your mission includes:

· Delivering high-value AI/ML prospects within our product offerings.

· Demonstrating curiosity in the latest and greatest tech trends.

· Framing problems and solutions with proofs of concept to the grand finale of implementation, you’ll ensure scalability and top-tier performance.

· Collaborating with Data Engineers, ML Engineers, Software Engineers, Solution Architects, and Product/Program Managers. Collectively, you will define, create, deploy, monitor, and document ML models

Qualifications

· 1 – 5 years of data science expertise, backed by proven ability with successful projects.

· Skilled in bringing AI/ML solutions to life from start to finish, including scoping, design, development, testing, deployment, and vigilant monitoring.

· Expertise creating and delivering Cloud ML solutions at scale using Docker and Kubernetes.

· Understanding of advanced statistical modeling and analysis

. Expertise in Python and the tools and libraries that make ML magic happen.

· Familiarity with ML experiment tracking and collaboration tools, such as Mlflow and Weights & Biases.

· A solid in software engineering and DevOps practices, MLOps deployment, and infrastructure.

· Curiosity and understanding of generative AI frameworks and SDKs, like RAG, Langchain, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc.

· Worked with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo.

· Good communication skills, combining subject matter expertise with a flair for statistics.

· A results-driven attitude, a passion for innovation, and a self-starting, proactive nature. You’re organized, capable of juggling multiple tasks, and your creativity knows no bounds. You’re a strategic thinker, always on the hunt for the next big thing.

Additional Information

Interviews and selections are made continuously. If you are interested, apply as soon as possible.

As a step in our recruitment process, all final candidates will undergo a background check, to get us an understanding of our future employees.

We respectfully decline all offers of recruitment and/or advertising assistance.