Principal Data Scientist - AI Engineering

Principal Data Scientist - AI Engineering

IFS is a billion-dollar revenue company with 7000+ 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 make your moment 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

Are you ready to make waves in the world of AI? We're on the hunt for a Principal Data Scientist to join our dynamic global R&D organization. We're looking for someone who brings the heat, fosters seamless collaboration, and is always chasing that next level of excellence.

You'll be at the forefront of infusing cutting-edge advanced analytics and AI into IFS Cloud, revolutionizing Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your data scientist wizardry will power our solutions, crafting efficient data pipelines, expanding our data platform capabilities, and pushing the envelope of data-driven innovation across our product lineup.

Your sharp critical thinking and knack for real-world business dilemmas will be instrumental in orchestrating end-to-end solutions. From spotting opportunities on the horizon to delivering high-performance, scalable data solutions, you'll play a pivotal role in our success.

If you're a maestro of mapping business processes and deciphering complex data, if advanced analytics and AI are your jam, and if you take pride in building top-tier data pipelines for production environments, we want to hear from you.

How Will You Shape the Future?

This role is all about hands-on technical prowess, and we expect you to bring your A-game. You'll be in the driver's seat, working with autonomy, accountability, and technical brilliance. Your mission includes:

• Spotting high-value data opportunity within our IFS offerings, translating raw data into powerful features and reusable data assets.
• Serving as our data expert, guiding us towards the latest and greatest data technology and platform trends. You'll be the guru driving our data platform evolution and providing data project estimates.
• Leading the Data Science team in crafting and integrating data projects from the ground up. From framing problems and experimenting with new data sources and tools to the grand finale of data pipeline implementation and deployment. You will ensure scalability and top-tier performance.
• Locking arms with ML Engineers, Data Scientists, Architects, and Product/Program Managers. Together, you'll define, create, deploy, monitor, and document data pipelines to power advanced AI solutions.
• Becoming our data technology evangelist. Get ready to shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share your discoveries with clients and internal stakeholders, offering actionable insights that drive change.

Qualifications

To succeed in this role, you will need:

• 8+ years of data engineering experience, skilled in scalable solutions like Data Lakes/Lakehouse, Graph and Vector Databases (e.g., ADLS, Elasticsearch, MongoDB, Azure AI search, etc.).
• Proficient in data pipelines across cloud/on-premises, using Azure and other technologies.
• Experienced in orchestrating data workflows and Kubernetes clusters on AKS using Airflow, Kubeflow, Argo, Dagster or similar.
• Skilled with data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources.
• Expert in large-scale data processing with Spark or Dask.
• Strong in Python, Scala, C# or Java, cloud SDKs and APIs.
• AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow).
• Solid in DevOps, CI/CD automation with Bitbucket Pipelines, Azure DevOps, GitHub.
• Automate deployment of data pipelines and applications using Bash, PowerShell, or Azure CLI, Terraform, Helm Chats etc.
• Experienced in leveraging Azure AI Search, MongoDB, Elasticsearch or other hybrid/vector stores for content analysis and indexing, with a focus on creating advanced RAG (Retrieval Augmented Generation) applications.
• Proficiency in building IoT data pipelines, encompassing real-time data ingestion, transformation, security, scalability, and seamless integration with IoT platforms.
• Design, develop, and monitor streaming data applications using Kafka and related technologies.

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.