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Machine Learning Engineer, MLOps
Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
Data Scientist
Builds and deploys ML models (regression, clustering, classification) on large datasets using Azure Databricks and PySpark to generate business insights and product features for Zebra’s smart solutions.
Data Scientist
Senior Data Scientist builds and optimizes scalable ETL pipelines with PySpark and Databricks, designs ML models for retail demand forecasting, and collaborates with stakeholders to deploy production-grade forecasting systems.
Data Scientist
Build and deploy ML models, data pipelines, and dashboards to drive R&D insights using Python, SQL, and cloud tools like AWS/Azure.
Principal Data Scientist, Applied AI & GenAI Engineering
Principal Data Scientist to lead Python-centric data engineering and GenAI projects, designing scalable pipelines and ML models for DTCC’s financial markets infrastructure.
Principal Data Scientist, Applied AI & GenAI Engineering
Principal Data Scientist at DTCC designs and deploys production-grade AI/GenAI and ML solutions in Python and Snowflake, leading data pipelines and model development for financial markets.
Manager 2, Rapid Digital Solutions
Builds AI-powered prototypes in 4-week cycles to solve pharma supply-chain and manufacturing problems, then hands them off for production. Uses Python, ML, LLMs, and low-code tools to deliver data-driven solutions.
Data Scientist
Build and maintain data models and AI-driven analytics for mortgage lending, using cloud platforms and MLOps to deliver predictive insights and generative-AI solutions.
Lead AI Engineer
Lead AI Engineer builds and deploys ML models and Gen-AI agentic apps in Python using TensorFlow/PyTorch, integrating them into production systems for Westpac’s banking products.
Senior AI/ML Engineer
Build production-grade AI/ML systems that turn complex dairy-farm data into actionable insights using AWS, Databricks, and modern AI frameworks.
Data Scientist – AI/ML Modeling
Designs and validates machine learning models for laboratory data analysis, focusing on chromatography, mass spectrometry, and scientific workflows.
Senior Data Engineer / Development Lead
Lead the design and development of scalable, multi-cloud data platforms using Python, Snowflake, Databricks, and Microsoft Fabric, while mentoring engineers and optimizing ETL/ELT pipelines.
Senior AI Engineer
Senior AI Engineer builds and optimizes cloud-native AI/ML pipelines on GCP, integrating LLMs via Google's Gemini API and deploying scalable services with Databricks and CloudRun.
GenAI Engineer
Build and deploy GenAI applications on Azure and AWS, integrating LLMs and AI agents while optimizing models for performance and scalability.
MACHINE LEARNING ENGINEER (Contract Position)
Build and deploy AI agents with tool-calling and RAG systems, integrating LLMs into enterprise workflows while optimizing performance and safety.
Model Risk Analyst – Validation [Multiple Positions Available]
Validate quantitative financial models (Treasury, Fair Lending, Credit Risk) using Python/SAS, statistical modeling, and machine learning; write reports and present findings to management.
Senior AI Engineer
Build and lead AI/ML systems on Google Cloud, including LLM apps with Gemini, scalable pipelines with Databricks, and DevOps practices for UPS logistics tech.
Sr Associate Data Engineer
Build and maintain data pipelines, ETL processes, and dashboards for Amgen’s supply-chain analytics using Python, Spark, SQL, and Tableau.
Lead Assistant Manager
Role Overview: We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be…
Sr Engr Cslt-AI/ML Engineering
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.