Title: AI/ML Data Engineer
Location: Berlin, NJ
Duration: 12+ Months Contract
About the Role
We are seeking a highly skilled and motivated AI Engineer to join our data and analytics team. This role is ideal for someone passionate about building intelligent data-driven solutions using cutting-edge technologies like Python, PySpark, Microsoft Fabric, Power BI, and SQL. You will play a key role in designing, developing, and deploying scalable AI models and data pipelines that power business insights and automation.
Responsibilities:
Design and implement AI/ML models using Python and PySpark for large-scale data processing
Build and optimize data pipelines using Microsoft Fabric (Data Factory, Synapse, Lakehouse)
Develop interactive dashboards and reports in Power BI to visualize model outputs and KPIs
Write efficient SQL queries for data extraction, transformation, and analysis
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions
Deploy and monitor AI models in production environments
Ensure data quality, governance, and compliance across all stages of the pipeline
Preferred Qualifications
Experience with Azure Machine Learning, Databricks, or similar platforms
Knowledge of data governance frameworks and security best practices
Exposure to LLMs, NLP, or generative AI tools is a plus
Required Skills & Qualifications
3+ years of experience in AI/ML engineering or data engineering roles
Strong proficiency in Python for data science and machine learning
Hands-on experience with PySpark for distributed data processing
Solid understanding of Microsoft Fabric components (Data Factory, Synapse, Lakehouse)
Expertise in Power BI for data visualization and storytelling
Advanced SQL skills for data manipulation and performance tuning
Familiarity with MLOps practices and cloud platforms (Azure preferred)
Excellent problem-solving and communication skills
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Help power international streaming analytics at NBCUniversal by developing reliable, observable batch and streaming data pipelines that enable fast business insights.
Experienced AI/ML Data Engineer needed to build and operate scalable ML data pipelines, feature/embedding stores, and model enablement infrastructure for College Board's remote Aquifer team.
Cellares is looking for a Senior Data Quality Engineer to lead automated validation, reconciliation, and monitoring of Databricks Lakehouse pipelines that power its cell therapy manufacturing platform.
Lead the design and delivery of OCC’s cloud analytics semantic layer and ETL pipelines to provide reliable, query-ready data for enterprise analytics and risk teams.
AUMOVIO seeks a detail-oriented Catalog Data Specialist to manage ACES/PIES electronic catalogs, vehicle application data, and supplier/customer catalog communications for multiple product brands.
Work at MongoDB as an Analytics Engineering Intern building end-to-end analytics pipelines, writing complex SQL, and contributing to data-driven projects in a hybrid NYC environment.
Lead the design and implementation of scalable analytics and data engineering solutions that power clinical and operational insights across the University of Maryland Medical System.
Lead the design and delivery of large-scale ELT pipelines and data warehouse solutions using Hadoop, Spark, Python, and advanced SQL to support analytics and product teams.
Verkada is hiring an on-site Analytics Engineer in San Mateo to build scalable dbt data models, develop Looker dashboards, and translate marketing data into growth-driving insights.
Chabez Tech is a fast growing IT services and software development firm providing services across several domains. Chabez Tech is headquartered in Pennsylvania with a client base all around the world. Chabez Tech provides a wide variety of IT serv...
6 jobs