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Remote Google Cloud Machine Learning Engineer Jobs in Maryland

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...

Lead Data Engineer

Bethesda, MD ยท On-site +1

$122K - $146K/yr

... machine learning algorithms to solve complex data mining problems โ€ข Experience with BI tools โ€ข Understanding of cloud platforms and providers and DevOps โ€ข Bachelor's Degree in Computer Science ...

Lead Data Engineer

Columbia, MD ยท On-site +1

$125K - $160K/yr

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative ... Strong expertise in Google Cloud Platform (GCP), particularly: * BigQuery * Cloud Storage * Cloud ...

Senior Data Engineer

Bethesda, MD ยท On-site +1

$113K - $153K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... Work with Azure cloud and Databricks โ€ข Develop technical architectures and specific ...

2027 Summer Intern Associate

Bethesda, MD ยท On-site +1

$16 - $21.50/hr

Proficiency in Microsoft Office or Google Workspace Preferred Qualifications (Varies by internship ... Python, R, statistics, machine learning coursework * Data Engineering: SQL, databases, cloud ...

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Cloud/Twistlock, Mend/WhiteSource) Soft Skills: * Strong problem-solving and analytical skills

Lead Data Engineer

Baltimore, MD ยท On-site +1

$113K - $136K/yr

... machine learning roles. * Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java ... Experience with cloud data platforms (AWS, Snowflake), preferably within a regulated industry.

Senior Software Developer

Bethesda, MD ยท On-site +1

$58.25 - $77/hr

... machine learning, multiple clouds) serve more users than almost any other US Government Agency ... Experience with Cloud technologies: * AWS: EC2, S3 * GCP: GKE, Google Store * Ability to work with ...

Showing results 41-60

Remote Google Cloud Machine Learning Engineer information

What does a remote Google Cloud machine learning engineer do?

A Remote Google Cloud Machine Learning Engineer designs, develops, and deploys machine learning models on Google Cloud Platform (GCP) from a remote location. They work with cloud-based tools and services such as TensorFlow, Vertex AI, BigQuery, and Dataflow to build scalable, production-ready ML solutions. Their responsibilities also include data preprocessing, model training and evaluation, and integrating ML solutions with other cloud services. Collaboration with data scientists, software engineers, and stakeholders is a key part of the role, ensuring that ML solutions meet business goals while leveraging the full capabilities of Google Cloud.

How does a remote Google Cloud machine learning engineer typically collaborate with cross-functional teams?

As a Remote Google Cloud Machine Learning Engineer, collaboration often happens through virtual meetings, shared documentation, and cloud-based development environments. You'll regularly interact with data scientists, software developers, and product managers to align machine learning solutions with business objectives. Clear communication and proactive updates are essential, as you may work across time zones and need to coordinate on project requirements, data pipelines, and model deployment strategies. Tools such as Google Meet, Slack, and shared code repositories like Git are commonly used to facilitate seamless teamwork.

What are the key skills and qualifications needed to thrive as a remote Google Cloud machine learning engineer, and why are they important?

To thrive as a Remote Google Cloud Machine Learning Engineer, you need expertise in machine learning algorithms, data analysis, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, and TensorFlow, as well as relevant certifications like Google Professional Machine Learning Engineer, is highly valued. Strong problem-solving skills, self-motivation, and effective remote communication set top performers apart in this role. These competencies are critical for building scalable ML solutions, collaborating remotely, and delivering impactful results using cloud technologies.

What is the difference between Remote Google Cloud Machine Learning Engineer vs Remote AWS Machine Learning Engineer?

AspectRemote Google Cloud Machine Learning EngineerRemote AWS Machine Learning Engineer
Required CredentialsGoogle Cloud certifications, Python, ML frameworksAWS certifications, Python, ML frameworks
Work EnvironmentGoogle Cloud Platform, GCP toolsAWS Cloud, AWS tools
Industry UsageTech, finance, healthcare using GCPTech, retail, finance using AWS
Search & Comparison IntentHigh overlap in cloud-based ML rolesSimilar roles in cloud ML, different platform

Both roles involve developing machine learning models in cloud environments, requiring cloud platform certifications and expertise in Python and ML frameworks. The main difference lies in the cloud platform used: Google Cloud vs AWS. Candidates should choose based on their platform familiarity and employer requirements.

What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in Maryland?

The most popular types of Google Cloud Machine Learning Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Google Cloud Machine Learning Engineer jobs?

Cities in Maryland with the most Remote Google Cloud Machine Learning Engineer job openings:

Sr. Technical Architect - Consulting(Java, Spring boot, SQL)

JDA

Rockville, MD โ€ข Remote

$95K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

Role: Senior Technical Architect- Customer facing

Location: Dallas, TX ( REMOTE role)

Company Overview:

Blue Yonder is a global leader in digital supply chain transformation, helping retailers, manufacturers, and logistics providers optimize their operations from planning through fulfillment, delivery, and returns. Our AI-embedded, interoperable supply chain solutions connect every aspect of the supply chain, enabling businesses to predict demand, optimize operations, and deliver superior customer experiences.

Position Overview:

The Sr Technical Architect at Blue Yonder is a crucial role within our product development team, responsible for the design and architecture of scalable, robust, and high-performance solutions. This individual will work across multiple scrum teams, influencing both strategic and tactical decisions, ensuring that our technology solutions meet the highest standards of functionality, reliability, and innovation.

Key Responsibilities:
  • Technical Design and Architecture:
    • Lead the design and development of complex cross-product features and solutions.
    • Ensure the technical architecture aligns with business needs and strategic goals.
    • Utilize AI/ML, cloud platforms, and IoT technologies to enhance product features and performance.
  • Collaboration and Leadership:
    • Serve as a trusted advisor to project directors and senior management.
    • Collaborate with architects, product managers, and development teams to resolve technical challenges and drive innovation.
    • Mentor and guide development teams to ensure adherence to architectural standards and best practices.
  • Risk Management and Representation:
    • Communicate potential application-related risks to senior management.
    • Represent Blue Yonder at internal and external workshops, contributing to functional or technical roadmaps.
Technical Environment:

The Sr Technical Architect will work within a dynamic technical landscape that includes:

  • Cloud Computing platforms (e.g., AWS, Azure, Google Cloud Platform) for scalable infrastructure.
  • AI and Machine Learning for predictive insights and intelligent decision-making.
  • IoT and Edge Computing for real-time data collection and analysis.
  • Modern software development practices including microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines.
Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: Minimum of 7 years of experience in software development using Java and Spring,
  • with a proven track record in designing and implementing complex systems within the supply chain or related industries.
  • Skills:
    • Should have strong implementation experience using anyone of BY products like TMS/WMS or any other (MUST)
    • Deep technical expertise in AI/ML, cloud platforms, and IoT.
    • Strong leadership, communication, and collaboration skills.
    • Ability to influence and guide multiple teams and stakeholders.
    • Proficiency in various programming languages and development methodologies.
Why Join Blue Yonder:

At Blue Yonder, you will have the opportunity to work on transformative supply chain solutions, collaborate with talented professionals from diverse backgrounds, and drive innovation in a fast-paced and dynamic environment. Join us to make a significant impact on global supply chains and advance your career with a leading technology company.

#LI-SR1

#LI-REMOTE

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Annual salary range for this position is: $95,400.00 - $143,896.18

The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.

At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes:

  • Comprehensive Medical, Dental and Vision

  • 401K with Matching

  • Flexible Time Off

  • Corporate Fitness Program

  • A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience.

Our Values


If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.