Machine Learning Engineer, Robert Half

Machine Learning Engineer

Robert Half

Location:

United States, Chicago

Category:

IT - Software Development

Contract Type:

Employment contract, Contract work

Salary:

Not provided

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Job Description:

Robert Half, the world’s first and largest specialized talent solutions firm, is seeking a Machine Learning Engineer to design, deploy, and manage scalable ML solutions with Azure services in Chicago, IL. Responsibilities include architecting ML pipelines, optimizing performance, and providing consulting expertise to clients. Candidates must have strong Azure expertise, programming skills, and consulting experience. Benefits include competitive compensation, medical and retirement plans, and training opportunities.

Job Responsibility:

Design, build, and deploy scalable machine learning models and algorithms using Azure ML and other cloud-based services
Architect end-to-end ML pipelines, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring
Use Azure Machine Learning Studio, Azure Databricks, and other platform tools to accelerate the development and deployment of ML models
Collaborate with cross-functional teams (data scientists, developers, and business stakeholders) to understand business problems and translate them into technical solutions
Perform data analysis and modeling to provide insights and actionable recommendations to clients
Optimize ML models for performance, scalability, and cost-effectiveness within a cloud environment
Provide consulting expertise to clients by presenting technical recommendations and solution roadmaps tailored to their business goals
Support cloud migrations, integrations, and system scaling related to AI/ML
Stay updated on trends in AI, ML, and cloud technologies to recommend best practices and innovative solutions
Document ML workflows and frameworks, ensuring transparency and reusability across projects.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
Proven detail oriented experience as a Machine Learning Engineer with a focus on developing, deploying, and managing ML models in Azure environments
Hands-on expertise in Azure tools and services, such as Azure Machine Learning Studio, Azure Databricks, Azure Data Factory, and Azure DevOps
Proficiency in Python, R, or similar programming languages commonly used in ML
Knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience with MLOps strategies, automating ML pipelines, and model lifecycle management
Familiarity with SQL, NoSQL databases, and big data processing tools (e.g., Spark)
A proven track record of consulting experience, including working directly with clients to identify needs, communicate solutions, and deliver business value
Strong analytical, problem-solving, and decision-making skills
Excellent communication and presentation abilities to explain complex technical concepts to non-technical stakeholders
Experience with Agile development methodologies and project management in consulting environments.

Nice to have:

Azure Certifications, such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Data Scientist Associate
Familiarity with responsible AI best practices and ethical ML development
Experience with cloud cost optimization for ML workloads
Knowledge of additional cloud providers (AWS, Google Cloud) is a plus.

What we offer:

Competitive compensation
Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training
Contract, temporary and permanent placement solutions.

Additional Information:

Job Posted:

March 21, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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