Senior Machine Learning Engineer

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    "jobTitle": "Senior Machine Learning Engineer",
    "location": "Allied Benefit Systems - CHICAGO, IL 60606",
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    "description": "<p><span style=\"font-size:12pt;\"><span style=\"font-family:'Times New Roman', serif;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">POSITION SUMMARY </span></span></b></span></span></p>\n\n<p><span style=\"font-size:12pt;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">The Senior Machine Learning Engineer is responsible for designing, building, and deploying scalable machine learning systems that drive business impact. This role will partner closely with data scientists, AI Technical Product Owners, and engineering teams to integrate machine learning capabilities into real business processes. The emphasis is on operational excellence, scalability, and long-term maintainability rather than research and experimentation. </span></span></span></span></p>\n\n<p><span style=\"font-size:12pt;\"><span style=\"font-family:'Times New Roman', serif;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">ESSENTIAL FUNCTIONS </span></span></b></span></span></p>\n\n<ul>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Design and implement end to end machine learning pipelines that support data ingestion, feature generation, model training, validation, deployment, and monitoring.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Operationalize models in coordination with data scientists and ensure they run reliably with requisite alerts and monitoring in production environments.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Build reusable frameworks and patterns that reduce friction when deploying new models or updating existing ones.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Ensure pipelines are secure, auditable, and appropriate for use in regulated enterprise environments.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Own and evolve the MLOps toolchain that supports model versioning, artifact management, experiment tracking, and deployment workflows.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Implement continuous integration and deployment practices for machine learning systems.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Establish monitoring and alerting for model performance, data quality, drift, and system health.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Partner with cloud and platform teams to manage compute resources, cost controls, and environment configurations.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Work with application engineering teams to integrate machine learning outputs into downstream systems and user workflows.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Support real time and batch inference patterns depending on business needs.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Ensure that machine learning services meet performance, reliability, and availability expectations for production use.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Collaborate closely with data scientists to shape models that are production ready and operationally sustainable.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Provide guidance on feature engineering, model packaging, and performance tradeoffs from a deployment perspective.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Document standards, patterns, and best practices for building and operating machine learning systems.</span></span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Contribute to the maturation of the organization’s overall AI and ML engineering discipline.</span></span></span></span></span></li>\n</ul>\n\n<ul style=\"margin-bottom:11px;\">\n\t<li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span><span style=\"line-height:107%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\">Other duties as assigned</span></span></span></span></span></span></li>\n</ul>\n\n<p><span style=\"font-size:12pt;\"><span><span style=\"font-family:'Times New Roman', serif;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">EDUCATION</span></span></b></span></span></span></p>\n\n<ul style=\"margin-bottom:11px;\">\n\t<li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:107%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\">Bachelor’s degree in Computer Science, Math, Statistics, or equivalent work experience required.</span></span></span></span></span></span></li>\n</ul>\n\n<p><span style=\"font-size:12pt;\"><span><span style=\"font-family:'Times New Roman', serif;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">EXPERIENCE AND SKILLS</span></span></b><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">: </span></span></span></span></span></p>\n\n<ul style=\"margin-bottom:11px;\">\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">6+ years of strong experience building and operating machine learning systems in production environments.</span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Solid software engineering skills with Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow.</span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Experience with data pipelines, workflow orchestration, and model deployment patterns.</span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Hands on experience with cloud platforms and managed ML services, with Azure, AWS, and/or Databricks experience preferred.</span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Understanding of MLOps concepts including model versioning, monitoring, testing, and lifecycle management.</span></span></span></span></li>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Experience working with sensitive data in regulated industries such as healthcare or insurance is strongly preferred.</span></span></span></span></li>\n\t<li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"line-height:116%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Ability to work cross functionally and translate between data science, engineering, and business stakeholders.</span></span></span></span></li>\n</ul>\n\n<p><span style=\"font-size:12pt;\"><span><span style=\"font-family:'Times New Roman', serif;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">POSITION COMPETENCIES</span></span></b></span></span></span></p>\n\n<ul>\n\t<li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"vertical-align:baseline;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Accountability</span></span></span></span></span></li>\n\t<li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"vertical-align:baseline;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Analytical Problem Solving</span></span></span></span></span></li>\n\t<li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"vertical-align:baseline;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Collaboration</span></span></span></span></span></li>\n\t<li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"vertical-align:baseline;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Execution and Delivery</span></span></span></span></span></li>\n\t<li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"vertical-align:baseline;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Quality and Risk Management</span></span></span></span></span></li>\n\t<li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"vertical-align:baseline;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Systems Thinking</span></span></span></span></span></li>\n\t<li class=\"paragraph\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"vertical-align:baseline;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Technical/Functional Expertise</span></span></span></span></span></li>\n</ul>\n\n<p><span style=\"font-size:12pt;\"><span><span style=\"font-family:'Times New Roman', serif;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">PHYSICAL DEMANDS</span></span></b></span></span></span></p>\n\n<ul>\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span><span style=\"line-height:107%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"background:#FFFFFF;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\">This is a standard desk role requiring extended sitting and computer work</span></span></span></span></span></span></span></li>\n</ul>\n\n<p><span style=\"font-size:12pt;\"><span><span style=\"font-family:'Times New Roman', serif;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">WORK ENVIRONMENT</span></span></b></span></span></span></p>\n\n<ul style=\"margin-bottom:11px;\">\n\t<li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span><span style=\"line-height:107%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Remote</span></span></span></span></span></li>\n</ul>\n\n<p> </p>\n\n<p><span style=\"font-size:12pt;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:10.5pt;\"><span style=\"font-family:Arial, sans-serif;\">Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive</span></span><span style=\"font-size:10.5pt;\"><span style=\"font-family:Calibri, sans-serif;\">.</span></span></span></span></p>\n\n<p><span style=\"font-size:12pt;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:10.5pt;\"><span style=\"font-family:Arial, sans-serif;\">The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.</span></span></span></span></p>\n\n<p><span style=\"font-size:12pt;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:10.5pt;\"><span style=\"font-family:Arial, sans-serif;\">Compensation is not limited to base salary.  Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.</span></span></span></span></p>\n\n<p><span style=\"font-size:12pt;\"><span style=\"font-family:'Times New Roman', serif;\"><span style=\"font-size:10.5pt;\"><span style=\"font-family:Arial, sans-serif;\">Allied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time.  All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process.  It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.</span></span></span></span></p>",
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This role will partner closely with data scientists, AI Technical Product Owners, and engineering teams to integrate machine learning capabilities into real business processes. 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Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive.\\n\\nThe company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.\\n\\nCompensation is not limited to base salary.  Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.\\n\\nAllied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time.  All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process.  It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.Qualifications\",\"responsibilities\":\"POSITION SUMMARY \\n\\nThe Senior Machine Learning Engineer is responsible for designing, building, and deploying scalable machine learning systems that drive business impact. This role will partner closely with data scientists, AI Technical Product Owners, and engineering teams to integrate machine learning capabilities into real business processes. The emphasis is on operational excellence, scalability, and long-term maintainability rather than research and experimentation. \\n\\nESSENTIAL FUNCTIONS \\n\\n\\n\\tDesign and implement end to end machine learning pipelines that support data ingestion, feature generation, model training, validation, deployment, and monitoring.\\n\\tOperationalize models in coordination with data scientists and ensure they run reliably with requisite alerts and monitoring in production environments.\\n\\tBuild reusable frameworks and patterns that reduce friction when deploying new models or updating existing ones.\\n\\tEnsure pipelines are secure, auditable, and appropriate for use in regulated enterprise environments.\\n\\tOwn and evolve the MLOps toolchain that supports model versioning, artifact management, experiment tracking, and deployment workflows.\\n\\tImplement continuous integration and deployment practices for machine learning systems.\\n\\tEstablish monitoring and alerting for model performance, data quality, drift, and system health.\\n\\tPartner with cloud and platform teams to manage compute resources, cost controls, and environment configurations.\\n\\tWork with application engineering teams to integrate machine learning outputs into downstream systems and user workflows.\\n\\tSupport real time and batch inference patterns depending on business needs.\\n\\tEnsure that machine learning services meet performance, reliability, and availability expectations for production use.\\n\\tCollaborate closely with data scientists to shape models that are production ready and operationally sustainable.\\n\\tProvide guidance on feature engineering, model packaging, and performance tradeoffs from a deployment perspective.\\n\\tDocument standards, patterns, and best practices for building and operating machine learning systems.\\n\\tContribute to the maturation of the organization’s overall AI and ML engineering discipline.\\n\\n\\n\\n\\tOther duties as assigned\\n\\n\\nEDUCATION\\n\\n\\n\\tBachelor’s degree in Computer Science, Math, Statistics, or equivalent work experience required.\\n\\n\\nEXPERIENCE AND SKILLS: \\n\\n\\n\\t6+ years of strong experience building and operating machine learning systems in production environments.\\n\\tSolid software engineering skills with Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow.\\n\\tExperience with data pipelines, workflow orchestration, and model deployment patterns.\\n\\tHands on experience with cloud platforms and managed ML services, with Azure, AWS, and/or Databricks experience preferred.\\n\\tUnderstanding of MLOps concepts including model versioning, monitoring, testing, and lifecycle management.\\n\\tExperience working with sensitive data in regulated industries such as healthcare or insurance is strongly preferred.\\n\\tAbility to work cross functionally and translate between data science, engineering, and business stakeholders.\\n\\n\\nPOSITION COMPETENCIES\\n\\n\\n\\tAccountability\\n\\tAnalytical Problem Solving\\n\\tCollaboration\\n\\tExecution and Delivery\\n\\tQuality and Risk Management\\n\\tSystems Thinking\\n\\tTechnical/Functional Expertise\\n\\n\\nPHYSICAL DEMANDS\\n\\n\\n\\tThis is a standard desk role requiring extended sitting and computer work\\n\\n\\nWORK ENVIRONMENT\\n\\n\\n\\tRemote\\n\\n\\n \\n\\nHere at Allied, we believe that great talent can thrive from anywhere. 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Additional functions and requirements may be assigned by supervisors as deemed appropriate.\\n\\nCompensation is not limited to base salary.  Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.\\n\\nAllied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time.  All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process.  It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.\",\"employmentType\":\"FULL_TIME\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"Allied Benefit Systems\",\"logo\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=518A90CE68B712867516B5A3986512DA\"},\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"streetAddress\":\"200 WEST ADAMS ST\",\"addressLocality\":\"CHICAGO\",\"addressRegion\":\"IL\",\"postalCode\":60606,\"addressCountry\":\"USA\"}},\"industry\":\"Information Technology\",\"validThrough\":\"-0001-11-30\"}",
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