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Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Build and deploy AI/ML perception systems for autonomous robots and drones, integrating camera/radar sensors and fusion algorithms to enable safe navigation in industrial environments.
Builds and deploys scalable machine-learning solutions for enterprise clients, working with MLOps platforms, cloud tools, and AI frameworks like TensorFlow and PyTorch.
Senior Software Engineer builds and maintains a cloud-native data platform using Kubernetes, Spark, and Trino to power enterprise analytics and AI/ML at a large bank.
Build and maintain data pipelines using Databricks, PySpark, and Python to process and transform healthcare data for analytics and ML.
Build and lead enterprise software solutions using React, FastAPI, Python, and AWS, integrating AI/ML and DevSecOps practices for a global biotech company.
Build and maintain high-volume data pipelines between Snowflake and Databricks using PySpark and dbt, then deploy ML models on OpenShift with MLOps tooling like MLflow and Airflow.
Design and prototype Databricks Lakehouse architectures for enterprise clients, building scalable data/AI platforms and guiding delivery teams on Delta Lake, Unity Catalog, and Mosaic AI.
Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living…
Build and maintain end-to-end MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to operationalize ML/AI models for production.
Lead the design and deployment of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, and Airflow to move ML models from concept to production.
Senior ML Developer builds and deploys AI models for Dayforce’s HCM platform, using Python, PyTorch/TensorFlow, and MLOps to create predictive models and dashboards that improve workforce insights.
Builds and optimizes AI/ML-powered mobile/web apps for Warner Bros. Discovery, focusing on personalized content, search, and dynamic recommendations using frameworks like TensorFlow/PyTorch, cloud platforms (AWS/GCP), and generative models (LLMs, transformers).
Leads Vibrant’s data science, ML, and AI teams to build models for crisis services, NLP, and analytics while ensuring HIPAA-compliant deployment and responsible AI governance.
Build and deploy production-grade ML systems that turn real-world context into enterprise-grade demand forecasts, using Python and distributed ML infrastructure.
Senior consultant designs and deploys AI-enabled data solutions on Databricks for financial-crime and AML use cases, integrating LLMs and cloud pipelines while guiding clients from concept to production.
Lead the productionalization of AI/ML models and LLMOps pipelines, architecting scalable AI infrastructure and MLOps workflows to deploy enterprise-grade solutions in Python and cloud environments.
Design and deploy ML models to optimize manufacturing quality, predict anomalies, and forecast processes using Python, PyTorch/TensorFlow, and MLOps in an industrial AI environment.
Build and improve ML models for heat pump reliability using Python, Databricks, and MLflow; analyze IoT data and explore GenAI for reporting.
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