Senior Data Scientist (R&D AI Engineering)

Company Description

IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. 

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 understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. 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. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

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 in the driver’s seat, working with autonomy, accountability, and technical brilliance. Your mission includes:

• Identify High-Value AI/ML Prospects: Spot high-value AI/ML opportunities within our product offerings.
• Guide AI/ML Technology Trends: Serve as the AI/ML expert, guiding the team towards the latest and greatest technology trends. Shape the roadmap by providing estimates and implementation strategies.
• Develop and Integrate Data Science Projects: Craft and integrate data science projects from the ground up. From framing problems and experimenting with proofs of concept to the grand finale of implementation, ensure scalability and top-tier performance.
• Collaborate with Cross-Functional Teams: Work closely with Data Engineers, ML Engineers, Software Engineers, Solution Architects, and Product/Program Managers to define, create, deploy, monitor, and document ML models that are both tailored and industry-leading.
• Evangelize AI/ML Technology: Become an AI/ML evangelist. Shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share discoveries with clients and internal stakeholders, offering actionable insights that drive change.

Qualifications

• Experience: 3+ years of data science expertise demonstrated through successful projects.
• AI/ML Solutions: Mastery in bringing AI/ML solutions to life from start to finish, including scoping, design, development, testing, deployment, and monitoring.
• Statistical Modeling: Deep understanding of advanced statistical modeling and analysis.
• Programming Skills: Proficiency in Python and its ML libraries and tools.
• ML Experiment Tracking: Familiarity with ML experiment tracking and collaboration tools, such as MLflow and Weights & Biases.
• Software Engineering and DevOps: Solid background in software engineering, DevOps practices, MLOps deployment, and infrastructure.
• Generative AI Frameworks: Knowledge of generative AI frameworks and SDKs, such as RAG, LangChain, Semantic Kernel, and tools like MS tooling, Co-Pilot Studio, ML Studio, Prompt Flow, Kedro, etc.
• Cloud ML Solutions: Expertise in creating and delivering Cloud ML solutions at scale using Docker and Kubernetes.
• Pipeline Orchestration: Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo.
• Communication Skills: Outstanding communication skills, combining subject matter expertise with a flair for statistics.
• Soft Skills: A results-driven attitude, a passion for innovation, and a proactive, self-starting nature. Strong organizational skills, capable of juggling multiple tasks, and a strategic thinker always on the hunt for the next big thing.

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.