Back to the roster

Machine Learning Operations (MLOps) Architect (GCP)

Remote Full-time Hiring now

As a full spectrum public cloud integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.

If you like a challenge, you’ll love it here, because we solve complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally

We are looking for a seasoned Machine Learning Operations (MLOps) Architect to design, build, and optimize machine learning platforms. This role requires deep expertise in machine learning engineering and infrastructure, with a strong focus on developing scalable inference systems. Proven experience in building and deploying ML platforms in production environments is essential. This remote position also requires excellent communication skills and the ability to independently tackle complex challenges with innovative solutions.

If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?

What you will be doing

  • Architect and optimize ML Platforms to support cutting-edge machine learning and deep learning models.
  • Collaborate closely with cross-functional teams to translate business objectives into scalable engineering solutions.
  • Lead the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art large language models (LLMs).
  • Provide technical leadership and mentorship to cultivate a high-performing engineering team.
  • Develop CI/CD workflows for ML models and data pipelines using tools like Cloud Build, GitHub Actions, or Jenkins.
  • Automate model training, validation, and deployment across development, staging, and production environments.
  • Monitor and maintain ML models in production using Vertex AI Model Monitoring, logging (Cloud Logging), and performance metrics.
  • Ensure reproducibility and traceability of experiments using ML metadata tracking tools like Vertex AI Experiments or MLflow.
  • Manage model versioning and rollbacks using Vertex AI Model Registry or custom model management solutions.
  • Collaborate with data scientists and software engineers to translate model requirements into robust and scalable ML systems.
  • Optimize model inference infrastructure for latency, throughput, and cost efficiency using GCP services such as Cloud Run, Kubernetes Engine (GKE), or custom serving frameworks.
  • Implement data and model governance policies, including auditability, security, and access control using IAM and Cloud DLP.
  • Stay current with evolving GCP MLOps practices, tools, and frameworks to continuously improve system reliability and automation.
  • Qualifications & Skills

  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 5+ years of relevant industry experience.
  • Proven track record in designing and implementing cost-effective, scalable machine learning inference systems.
  • Hands-on experience with leading deep learning frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain.
  • Proven experience in implementing MLOps solutions on Google Cloud Platform (GCP) using services such as Vertex AI, Cloud Storage, BigQuery, Cloud Functions, and Dataflow.
  • Solid understanding of machine learning algorithms, natural language processing (NLP), and statistical modeling.
  • Solid understanding of core computer science concepts, including algorithms, distributed systems, data structures, and database management.
  • Strong problem-solving skills, with the ability to tackle complex challenges using critical thinking and propose innovative solutions.
  • Effective in remote work environments, with excellent written and verbal communication skills. Proven ability to collaborate with team members and stakeholders to ensure clear understanding of technical requirements and project goals.
  • Expertise in public cloud platforms, particularly Google Cloud Platform (GCP) and Vertex AI.
  • Proven experience in building and scaling agentic AI systems in production environments.
  • In-depth understanding of large language model (LLM)architectures, parameter scaling, optimization strategies and deployment trade-offs.
  • #LI-JB2
  • Apply to this Job

    Related roles

    Digital Customer Success Partner

    Remote Full-time

    Job Opportunity : Senior BI Engineer

    Remote Full-time

    GCP Data Analyst - BigQuery (USA)

    Remote Full-time

    GCP Data Analyst - BigQuery (Canada)

    Remote Full-time

    Data Modeller – Healthcare Domain

    Remote Full-time

    Product Designer, Design Systems

    Remote Full-time

    Lead Product Designer

    Remote Full-time

    Senior Software Engineer II - Host [United Kingdom]

    Remote Full-time

    Life Science Community Manager

    Remote Full-time

    Support Operations Manager (Req # 1772)

    Remote Full-time

    Técnico de Segurança do Trabalho | Remoto

    Remote Full-time

    [Remote] Haryanvi Dialect Specialist - Freelance AI Trainer Project

    Remote Full-time

    Lead Operations Assistant - REMOTE

    Remote Full-time

    Experienced Remote Customer Service Representative – Delivering Exceptional Support and Solutions from the Comfort of Your Home with blithequark

    Remote Full-time

    Experienced Full Stack Customer Service Representative – Remote Work Opportunities with blithequark for Fortune 500 Companies

    Remote Full-time

    Remote - Senior Cybersecurity Customer Success Manager

    Remote Full-time

    Experienced Data Entry Associate – Entry-Level Healthcare Office Role – Hybrid Opportunity at arenaflex

    Remote Full-time

    Mathematics AI Training Expert - PhD - (Ecuador)

    Remote Full-time

    Product Manager, Data Analytics job at Equity Residential in Chicago, IL

    Remote Full-time

    Experienced In-Studio Game Presenter (Live Chat Agent Alternative) – Web & Casino Entertainment

    Remote Full-time