{"schemaVersion":"jobsearcher.job.v1","id":"ead67f89ff28bc7f654a9995","url":"https://jobsearcher.com/jobs/ead67f89ff28bc7f654a9995","canonicalUrl":"https://jobsearcher.com/jobs/ead67f89ff28bc7f654a9995","title":"Machine Learning Engineer","description":"The Senior Engineer – AI/ML designs, builds, and deploys software solutions that integrate machine learning and artificial intelligence into production systems. This role bridges traditional software engineering and data science by developing scalable architectures, implementing ML pipelines, and optimizing model performance in real‑world applications.The Senior Engineer collaborates closely with data scientists, product managers, enterprise architects, and platform engineers to translate business problems into reliable, efficient, and maintainable technical solutions. Strong skills in software engineering, cloud infrastructure, and applied machine learning are essential, along with a passion for experimentation, automation, and continuous improvement.Primary Focus: Embedding ML models into production systems.Key Focus AreasDesign ML pipelines, feature engineering workflows, and model deployment strategiesPartner with data scientists to productionize models and AI capabilitiesEnsure scalability, latency optimization, observability, and monitoring for ML‑driven servicesRole OverviewThis role is responsible for leading and contributing across the full software development lifecycle for products our customers love. In addition to hands‑on engineering, the Senior Engineer serves as a technical leader—pairing with other engineers and architects, supporting questions from other product teams, and encouraging cross‑team collaboration.The role also involves building foundational, reusable software components and defining software‑level objectives to ensure product reliability, performance, and long‑term maintainability.Duties and ResponsibilitiesSoftware & ArchitectureLead and contribute to software design, development, and production support for AI/ML‑enabled productsBuild rapid prototypes to assess solution viability aligned to product strategy; scale and productionize approved solutionsCreate foundational, reusable code components for use across the organizationCollaborate with Enterprise Architects and Chief Architecture Owners to produce architecture diagrams and documentation for security and compliance reviewsDefine and maintain service level objectives (SLOs) to measure system reliability and guide backlog prioritizationDesign and review API specifications and data contracts for shared services and cross‑team integrationsAI / ML EngineeringIntegrate AI, ML, and data science products into production systemsDevelop APIs to serve ML and LLM models, implement inference pipelines, and integrate external AI servicesBuild data pipelines for training and inference (ETL, feature engineering, logging, and telemetry)Train and fine‑tune ML models or LLMs as needed; implement monitoring and evaluation strategies (e.g., drift detection, performance tracking)Support experimentation workflows including hyperparameter tuning, cross‑validation, and experiment trackingReliability, Observability & OperationsAutomate infrastructure, monitoring, and testing via custom code or scripts to ensure resiliency in productionCreate dashboards, logging, alerting, and response mechanisms to proactively identify and address issuesProactively monitor production and lower‑environment performance relative to defined SLOsReview system performance and capacity across code, infrastructure, data, and message processing layersTriage high‑priority incidents and outages as they arise and provide application support for production systemsCollaboration & LeadershipIdentify and share technical solutions that can be leveraged across teams and product linesPartner with product teams to identify customer‑facing and technical enhancements that improve user experienceMentor developers and provide technical guidance to elevate team capabilitiesWork with vendors and open‑source communities to identify and implement relevant platform and feature enhancementsEducation, Experience & Qualifications3+ years of hands‑on software development experience2+ years of experience mentoring engineers or providing work directionProficiency in one or more of the following: Java, Python, JavaScript, TypeScript, SQLExperience with SQL and NoSQL databasesFamiliarity with Agile development tools such as Atlassian Suite (Jira, Confluence, Bitbucket) or equivalentsStrong understanding of cloud‑based architectures and production‑grade systemsFunctional SkillsStrong analytical skills with the ability to use data to drive operational excellenceEffective planning and prioritization, focused on highest‑impact outcomesSolid financial and business acumenClear, candid communicator across technical and non‑technical audiencesProven problem‑solving skills using structured, logical, and innovative approachesContinuous improvement mindset with an ability to adapt in fast‑paced environmentsAbility to influence and communicate effectively with senior leadersDemonstrated success working cross‑functionally across multiple initiatives","company":"Brooksource","rawCompany":"brooksource","city":"Atlanta","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-04-22T18:50:32.628Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"The Senior Engineer – AI/ML designs, builds, and deploys software solutions that integrate machine learning and artificial intelligence into production systems. This role bridges traditional software engineering and data science by developing scalable architectures, implementing ML pipelines, and optimizing model performance in real‑world applications.The Senior Engineer collaborates closely with data scientists, product managers, enterprise architects, and platform engineers to translate business problems into reliable, efficient, and maintainable technical solutions. Strong skills in software engineering, cloud infrastructure, and applied machine learning are essential, along with a passion for experimentation, automation, and continuous improvement.Primary Focus: Embedding ML models into production systems.Key Focus AreasDesign ML pipelines, feature engineering workflows, and model deployment strategiesPartner with data scientists to productionize models and AI capabilitiesEnsure scalability, latency optimization, observability, and monitoring for ML‑driven servicesRole OverviewThis role is responsible for leading and contributing across the full software development lifecycle for products our customers love. In addition to hands‑on engineering, the Senior Engineer serves as a technical leader—pairing with other engineers and architects, supporting questions from other product teams, and encouraging cross‑team collaboration.The role also involves building foundational, reusable software components and defining software‑level objectives to ensure product reliability, performance, and long‑term maintainability.Duties and ResponsibilitiesSoftware & ArchitectureLead and contribute to software design, development, and production support for AI/ML‑enabled productsBuild rapid prototypes to assess solution viability aligned to product strategy; scale and productionize approved solutionsCreate foundational, reusable code components for use across the organizationCollaborate with Enterprise Architects and Chief Architecture Owners to produce architecture diagrams and documentation for security and compliance reviewsDefine and maintain service level objectives (SLOs) to measure system reliability and guide backlog prioritizationDesign and review API specifications and data contracts for shared services and cross‑team integrationsAI / ML EngineeringIntegrate AI, ML, and data science products into production systemsDevelop APIs to serve ML and LLM models, implement inference pipelines, and integrate external AI servicesBuild data pipelines for training and inference (ETL, feature engineering, logging, and telemetry)Train and fine‑tune ML models or LLMs as needed; implement monitoring and evaluation strategies (e.g., drift detection, performance tracking)Support experimentation workflows including hyperparameter tuning, cross‑validation, and experiment trackingReliability, Observability & OperationsAutomate infrastructure, monitoring, and testing via custom code or scripts to ensure resiliency in productionCreate dashboards, logging, alerting, and response mechanisms to proactively identify and address issuesProactively monitor production and lower‑environment performance relative to defined SLOsReview system performance and capacity across code, infrastructure, data, and message processing layersTriage high‑priority incidents and outages as they arise and provide application support for production systemsCollaboration & LeadershipIdentify and share technical solutions that can be leveraged across teams and product linesPartner with product teams to identify customer‑facing and technical enhancements that improve user experienceMentor developers and provide technical guidance to elevate team capabilitiesWork with vendors and open‑source communities to identify and implement relevant platform and feature enhancementsEducation, Experience & Qualifications3+ years of hands‑on software development experience2+ years of experience mentoring engineers or providing work directionProficiency in one or more of the following: Java, Python, JavaScript, TypeScript, SQLExperience with SQL and NoSQL databasesFamiliarity with Agile development tools such as Atlassian Suite (Jira, Confluence, Bitbucket) or equivalentsStrong understanding of cloud‑based architectures and production‑grade systemsFunctional SkillsStrong analytical skills with the ability to use data to drive operational excellenceEffective planning and prioritization, focused on highest‑impact outcomesSolid financial and business acumenClear, candid communicator across technical and non‑technical audiencesProven problem‑solving skills using structured, logical, and innovative approachesContinuous improvement mindset with an ability to adapt in fast‑paced environmentsAbility to influence and communicate effectively with senior leadersDemonstrated success working cross‑functionally across multiple initiatives","datePosted":"2026-04-22T18:50:32.628Z","dateModified":"2026-04-22T18:50:32.628Z","hiringOrganization":{"@type":"Organization","name":"Brooksource","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ead67f89ff28bc7f654a9995"},"url":"https://jobsearcher.com/jobs/ead67f89ff28bc7f654a9995"}}