Principal Data Scientist - AI Engineering
Principal Data Scientist - AI Engineering
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Job Description
Are you ready to make waves in the world of AI Were on the hunt for a Principal Data Engineer to join our dynamic global R&D organization. Were looking for someone who brings the heat fosters seamless collaboration and is always chasing that next level of excellence.
Youll 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 engineer 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 youll play a pivotal role in our success.
If youre 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. Youll be in the drivers 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. Youll be the guru driving our data platform evolution and providing data project estimates.
- Leading the Data Engineering 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 youll 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
