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Machine Learning Engineer, Mid-Level
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Machine Learning Engineer, Mid-Level
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: HTC Global Services is seeking a Machine Learning Engineer to join their team and contribute to innovative solutions using emerging technologies. The role involves designing, building, deploying, and optimizing machine learning models and pipelines, while collaborating with stakeholders to address complex business challenges. Responsibilities: • Collaborate with business and technology stakeholders to understand current and future ML requirements • Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments • Design, build, maintain and optimize scalable ML pipelines, architecture and infrastructure • Adapt machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, and others. • Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios • Automate model deployment, training and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps • Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems • Develop, build and maintain infrastructure required for machine learning, including data pipelines, model deployment platforms, and model monitoring. • Develop and maintain tools and libraries to support the development and deployment of machine learning models. • Automate machine learning workflows using DevSecOps principles and practices. • Collaborate with development and operations teams to implement software solutions that improve system integration and automation of ML pipelines. • Design, develop, and manage data flows and APIs between upstream systems and applications. • Troubleshoot and resolve issues related to system communication, data flow, and data quality. • Collaborate with technical and non-technical teams to gather integration requirements and ensure successful deployment of data solutions. • Create and maintain comprehensive technical documentation of software components. • Work with IT to ensure systems meet evolving business needs and comply with data governance policies and security requirements. • Implement and enforce the highest standards of data quality and integrity across all data processes. • Manage deliverables through project management tools. Qualifications: Required: • Bachelor's degree in Computer Science, Information Systems, or a related field. • 3+ years of experience in developing and deploying machine learning models in a production environment. • 3+ years of experience in programming with Python • 2+ years of hands-on experience utilizing Google Cloud Platform (GCP) services, including BigQuery and Google Cloud Storage to efficiently manage and process large datasets, as well as Cloud Composer and/or Cloud Run. • Experience with version control systems like GitHub for managing code repositories and collaboration. • 2+ years of experience with code quality and security scanning tools, such as, SonarQube, Cycode and FOSSA. • 3+ years of experience with data engineering tools and technologies, such as, Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (with PySpark) or Airflow. • Experience with CI/CD practices and tools, including Tekton or Terraform, as well as containerization technologies like Docker or Kubernetes. • Excellent problem-solving and analytical skills, with a focus on data-driven solutions. • Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform. • Familiarity with Atlassian project management tools (e.g., Jira, Confluence) and agile practices. Preferred: • 5+ years of experience in the automotive industry, particularly in auto remarketing and sales. • Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering). • Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information. • Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering. • Demonstrated commitment to continuous learning and professional development. • Familiarity with machine learning libraries, such as TensorFlow, PyTorch, or Scikit-learn • Experience with MLOps tools and platforms. Company: HTC Global Services Inc., is a global provider of Information Technology and Business Process Services and Solutions. Founded in 1990, the company is headquartered in Troy, Michigan, USA, with a team of 10001+ employees. The company is currently Late Stage. HTC Global Services has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
Dearborn, MI . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Machine Learning Engineer, Mid-Level
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer, Mid-Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: HTC Global Services is seeking a Machine Learning Engineer to join their team and contribute to innovative solutions using emerging technologies. The role involves designing, building, deploying, and optimizing machine learning models and pipelines, while collaborating with stakeholders to address complex business challenges. Responsibilities: • Collaborate with business and technology stakeholders to understand current and future ML requirements • Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments • Design, build, maintain and optimize scalable ML pipelines, architecture and infrastructure • Adapt machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, and others. • Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios • Automate model deployment, training and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps • Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems • Develop, build and maintain infrastructure required for machine learning, including data pipelines, model deployment platforms, and model monitoring. • Develop and maintain tools and libraries to support the development and deployment of machine learning models. • Automate machine learning workflows using DevSecOps principles and practices. • Collaborate with development and operations teams to implement software solutions that improve system integration and automation of ML pipelines. • Design, develop, and manage data flows and APIs between upstream systems and applications. • Troubleshoot and resolve issues related to system communication, data flow, and data quality. • Collaborate with technical and non-technical teams to gather integration requirements and ensure successful deployment of data solutions. • Create and maintain comprehensive technical documentation of software components. • Work with IT to ensure systems meet evolving business needs and comply with data governance policies and security requirements. • Implement and enforce the highest standards of data quality and integrity across all data processes. • Manage deliverables through project management tools. Qualifications: Required: • Bachelor's degree in Computer Science, Information Systems, or a related field. • 3+ years of experience in developing and deploying machine learning models in a production environment. • 3+ years of experience in programming with Python • 2+ years of hands-on experience utilizing Google Cloud Platform (GCP) services, including BigQuery and Google Cloud Storage to efficiently manage and process large datasets, as well as Cloud Composer and/or Cloud Run. • Experience with version control systems like GitHub for managing code repositories and collaboration. • 2+ years of experience with code quality and security scanning tools, such as, SonarQube, Cycode and FOSSA. • 3+ years of experience with data engineering tools and technologies, such as, Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (with PySpark) or Airflow. • Experience with CI/CD practices and tools, including Tekton or Terraform, as well as containerization technologies like Docker or Kubernetes. • Excellent problem-solving and analytical skills, with a focus on data-driven solutions. • Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform. • Familiarity with Atlassian project management tools (e.g., Jira, Confluence) and agile practices. Preferred: • 5+ years of experience in the automotive industry, particularly in auto remarketing and sales. • Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering). • Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information. • Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering. • Demonstrated commitment to continuous learning and professional development. • Familiarity with machine learning libraries, such as TensorFlow, PyTorch, or Scikit-learn • Experience with MLOps tools and platforms. Company: HTC Global Services Inc., is a global provider of Information Technology and Business Process Services and Solutions. Founded in 1990, the company is headquartered in Troy, Michigan, USA, with a team of 10001+ employees. The company is currently Late Stage. HTC Global Services has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
Dearborn, MI . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr