Senior Machine Learning / MLOps Engineer

HTC Global Services; Dearborn (MI); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Group Health Insurance

401(k) matching

Paid Time Off

Professional Development opportunities

Job summary

HTC Global Services is seeking a Senior Machine Learning / MLOps Engineer to design and operate scalable ML data pipelines in the cloud, focusing on continuous improvement of analytics and AI-driven initiatives.

You will own data governance, production pipelines, and DevOps for the data platform while collaborating with cross-functional teams to deliver robust solutions.

Qualifications

• Bachelor's degree in CS/SE/IS or related field; advanced degrees valued.
• 4+ years in data engineering, data product development, or software product launches.
• 4+ years with Java, Python, Spark, Scala, or SQL RDBMS.
• Cloud data engineering experience for scalable batch and streaming pipelines.
• Experience with ML/AI Ops on Google Cloud Platform.

Responsibilities

• Build scalable ML data pipelines in the cloud to process large volumes of vehicle data.
• Optimize ML solutions for performance, security and cost.
• Develop analytical data products using streaming and batch patterns on GCP.
• Maintain data platform infra using Terraform and CI/CD practices.
• Collaborate with stakeholders to streamline data acquisition and processing.
• Implement data governance focusing on protection, sharing, reuse, and quality.
• Mentor junior team members in ML Ops practices.
• Monitor pipelines and provide production support per SLAs.

Skills

Python

Java

Spark

SQL

TensorFlow

Airflow

GCP

Terraform

Docker

CI/CD

Education

Bachelor's degree in Computer Science or related field

Master's degree or foreign equivalent (+4 years)

Tools

Google BigQuery

Amazon Redshift

Azure Synapse

Apache Kafka

Terraform

Docker

GitHub Actions

Job description

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. The role requires strong technical communication skills and the ability to collaborate with data analytics stakeholders, cross-functional teams, and management.

Key Responsibilities

• 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.
• Continuously develop, evaluate, and deliver code using CI/CD practices.
• Collaborate with data analytics stakeholders to streamline data acquisition, processing, and presentation.
• Implement an enterprise data governance model focused on data protection, sharing, reuse, quality, and standards.
• Enhance and maintain DevOps capabilities of the data platform.
• Optimize existing data solutions, including pipelines, products, and infrastructure, for performance, security, reliability, and cost.
• Work in an Agile product team using Test Driven Development (TDD), continuous integration, and continuous deployment (CI/CD).
• Address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
• Perform data mapping and data lineage activities and document information flows.
• Monitor production pipelines and provide production support by addressing production issues according to SLAs.
• Analyze connected vehicle data to support new product development and production vehicle improvements.
• Identify data quality, vehicle, and feature issues and work with business owners to resolve them.
• Communicate technical concepts clearly and advocate for well-designed solutions.
• Continuously enhance domain knowledge of connected vehicle data, connected services, and algorithms, models, and solutions developed by data scientists and AI engineers.
• Stay current with data engineering practices and contribute to technical direction while maintaining a customer-centric approach.
• Mentor and advise junior team members to expand ML Ops expertise across the organization.

Required 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.
• At least 4 years of professional experience in data engineering, data product development, and software product launches.
• At least 4 years of experience with at least three of the following: Java, Python, Spark, Scala, SQL.
• At least 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines.
• Deep knowledge of implementing ML/AI Ops on Google Cloud Platform.
• Experience with Machine Learning and MLOps.
• Experience with Python.
• Knowledge of TensorFlow.
• Experience with data governance.
• Knowledge of Artificial Intelligence and Expert Systems.
• Experience with GitHub.
• Experience with cloud data warehouses such as Google BigQuery, Amazon Redshift, or Microsoft Azure Synapse Analytics.
• Experience with workflow orchestration tools such as Airflow.
• Experience with relational database management systems such as MySQL, PostgreSQL, or SQL Server.
• Experience with real-time data streaming platforms such as Apache Kafka or GCP Pub/Sub.
• Experience with microservices architecture for large-scale real-time data processing applications.
• Experience with REST APIs for compute, storage, operations, and security.
• Experience with DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, and Docker.
• Experience with project management tools such as Atlassian JIRA.
• Strong technical communication and collaboration skills.
• Ability to work in an Agile environment.
• Ability to troubleshoot data pipeline and product issues.
• Ability to simplify and clearly communicate complex data and software concepts.
• Ability to work with cross-functional teams and all levels of management independently.

Preferred Qualifications

• Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
• 2 years of experience with ML model development and/or MLOps.
• Experience contributing code to open-source data/software engineering projects.
• Experience architecting cloud infrastructure and handling application migrations and upgrades.
• GCP Professional Certifications.
• Knowledge of telematics.
• Experience with data modeling, data mining, and database design.
• Experience implementing automation across data pipelines to minimize development and production labor.
• Experience working from concept through operations and providing technical subject matter expertise for successful deployment.
• Strong analytical skills for profiling data and troubleshooting data pipeline/product issues.
• Passion for experimenting with and implementing data engineering methods and techniques.
• Ability to mentor and advise junior team members.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package.

• Group Health (Medical, Dental, and Vision)
• Paid Time Off
• Paid Holidays
• 401(k) matching
• Group Life and Disability insurance
• Professional Development opportunities
• Wellness programs
• a variety of other perks

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier.