Hiring: Senior Machine Learning / MLOps Engineer Company: HTC Global Services Location: Dearborn, MI Job Posted Time: 2026-09-11 12:34:09 Target Skills & Keywords : AI, Agile, Airflow, Azure, BigQuery, CI/CD, Data Pipeline, Data Warehouse, Docker, GCP, Git, GitHub, GitHub Actions, Java, Jira, Kafka, MLOps, Machine Learning, Microservices, MySQL, PostgreSQL, Project Management, Pub/Sub, Python, REST, Redshift, SQL, SQL Server, Scala, SonarQube, Spark, TDD, Tekton, TensorFlow, Terraform About the job Experience: •4 years of professional experience in data engineering, data product development, and software product launches. •4 years of experience with at least three of the following: Java, Python, Spark, Scala, SQL. •3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines. •2 years of experience with ML model development and/or MLOps. •At least 4 years of professional experience in data engineering, data product development, and software product launches. Required Skills: •Senior Machine Learning / MLOps Engineer •We are seeking a Senior Machine Learning / MLOps Engineer to build scalable and robust machine learning data pipelines in the cloud and support AI-driven initiatives. This role will focus on ML operations, cloud data engineering, data governance, production data pipelines, infrastructure, and continuous optimization of data and ML solutions. •Build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data. •Optimize existing ML solutions for performance, security, and cost-effectiveness. •Utilize continual learning methods to continuously improve model performance. •Develop analytical data products using streaming and batch ingestion patterns on Google Cloud Platform. •Build data pipelines to monitor data quality and the performance of analytical models and AI solutions. •Maintain data platform infrastructure using Terraform. Qualifications: •Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field. •Master's degree or foreign equivalent in a related field with 4 years of experience, or an equivalent combination of education and experience, including 6+ years with a bachelor's degree. •Deep knowledge of implementing ML/AI Ops on Google Cloud Platform. •Knowledge of Artificial Intelligence and Expert Systems. •4 years of experience, or an equivalent combination of education and experience, including 6+ years with a bachelor's degree. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!