Top Big Data Machine Learning Engineer Jobs in Chicago, IL

Reposted 6 Days AgoSaved
Remote or Hybrid
USA
200K-218K Annually
Senior level
200K-218K Annually
Senior level
Big Data • Cloud • Security • Software • Cybersecurity
Lead the Applied Machine Learning team at ExtraHop to develop systems for behavioral detection in network security. Manage model design, evaluation, and operationalization while maintaining experimental rigor and collaborating with product teams.
Top Skills: AWSDockerKubernetesMachine LearningStatistics
Reposted 6 Days AgoSaved
Remote
USA
Senior level
Senior level
Artificial Intelligence • Big Data • Internet of Things • Software
The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.
Top Skills: Ai SystemsC++Data Visualization ToolsJavaMachine LearningMatlabPythonSQL
Reposted 9 Days AgoSaved
Remote or Hybrid
United States
180K-320K Annually
Senior level
180K-320K Annually
Senior level
Big Data • Information Technology • Software • Database • Analytics
The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.
Top Skills: AICloud Data WarehousesDatabricksLlmsSnowflake
Reposted 13 Days AgoSaved
Remote
USA
180K-205K Annually
Senior level
180K-205K Annually
Senior level
Big Data • Information Technology • Security • Software • Analytics • Cybersecurity
Lead the development and deployment of advanced ML/AI products, mentoring teams and collaborating with stakeholders to influence business outcomes.
Top Skills: AICloud PlatformsMlPythonSQL
14 Days AgoSaved
Remote
United States
180K-248K Annually
Senior level
180K-248K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Specialist Solutions Architect will guide customers in architecting ML & AI applications, provide advanced technical support, and collaborate cross-functionally to enhance Databricks' AI offerings.
Top Skills: AIAWSAzureDatabricksGCPGenaiHuggingfaceLangchainLlmsMlMlopsOpenai
Reposted 16 Days AgoSaved
Remote
USA
Mid level
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Machine Learning Engineer will design, develop, and deploy ML models using Google Cloud tools, focusing on Document AI and Vertex AI, ensuring scalable applications and efficient performance.
Top Skills: BigQueryCloud FunctionsCloud RunCloud SqlCloud StorageFastapiFirestoreGoogle Cloud AiGoogle Cloud Document AiGoogle Cloud Vertex AiPythonPyTorchScikit-LearnTensorFlow
Reposted 18 Days AgoSaved
Remote
USA
180K-225K Annually
Senior level
180K-225K Annually
Senior level
Big Data • HR Tech • Mobile • Software • Database
Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.
Top Skills: BertConvolutional Neural Networks (Cnn)Generative Adversarial Networks (Gan)LstmNltkPyTorchRecurrent Neural Networks (Rnn)Scikit-LearnSpacyTensorFlow
Reposted 19 Days AgoSaved
Remote
USA
Senior level
Senior level
Artificial Intelligence • Big Data • Information Technology
Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.
Top Skills: Aws S3Ci/CdDatabricksFaissGitPythonSnowflakeSparkSQL
Reposted 25 Days AgoSaved
Remote
United States
90K-140K Annually
Entry level
90K-140K Annually
Entry level
Big Data • Security • Software
The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.
Top Skills: AIDeep LearningMachine Learning
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