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Google Cloud AI/ML Engineer

Synthlane

Role overview

Qualifications

  • 3–10 years of software or ML engineering experience
  • Production AI work on Google Cloud
  • 6 hours of overlap with North American Eastern time
  • A Google Cloud certification in ML or AI (nice to have)

Responsibilities

  • Design, build and run AI systems end to end
  • Measure quality with real evaluations and judge changes by numbers
  • Take AI systems from prototype to reliable production
  • Write clean, tested Python code

Key facts

Hard skills

Other skills

  • Communication
  • Problem Solving

About the company

Synthlane logo

Synthlane

  • IT Services & Consulting
  • Startup
  • 11–50
Synthlane is a leading IT services and consulting firm dedicated to empowering organizations—businesses, large enterprises, and government institutions—with cutting-edge technology solutions and expert guidance. In today’s fast-paced digital world, we understand that organizations face unique challenges, from complex IT infrastructure needs to digital transformation demands, and we are here to provide strategic, scalable, and future-ready solutions. Our comprehensive range of services includes: Enterprise IT Consulting: Aligning technology strategies with business goals to drive efficiency and growth. Digital Transformation Solutions: Modernizing processes, applications, and workflows for seamless operations. Cybersecurity & Risk Management: Protecting critical data, systems, and networks with advanced security frameworks. Cloud & Infrastructure Services: Deploying scalable cloud solutions and robust IT infrastructure to support evolving organizational needs. Custom Software & Application Development: Delivering tailored software that addresses specific enterprise or government challenges. What sets us apart is our commitment to excellence, innovation, and client success. We combine deep industry expertise with advanced technologies to provide solutions that are not only technically sound but also aligned with strategic business objectives. Over the years, we have partnered with leading enterprises and government bodies, helping them streamline operations, enhance productivity, and achieve measurable results. Our team of experienced IT consultants, engineers, and strategists works closely with clients to understand their unique requirements, anticipate challenges, and deliver solutions that drive long-term value. Whether you are looking to transform your digital ecosystem, strengthen your IT infrastructure, or implement innovative solutions, Synthlane is your trusted partner for strategic, reliable, and results-driven IT services
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Job description

About the role

Synthlane builds AI solutions on Google Cloud for Google partners and their clients in North America. These clients want AI that works in production, on their own data, within strict security rules. You will design, build and run those systems end to end.

What strong looks like here

  • You understand ML from first principles, and you know which approach fits which problem.
  • You measure quality with real evaluations, and you judge each change by the numbers.
  • You take AI systems from prototype to reliable production.
  • You write clean, tested Python.
  • You know enough about cloud networking and security to keep data and models inside their boundaries.
  • You explain AI trade-offs clearly to clients, and you take ownership of the outcome.

Experience

  • 3–10 years of software or ML engineering, with production AI work on Google Cloud. We value depth over years.
  • 6 hours of overlap with North American Eastern time.

Nice to have

  • A Google Cloud certification in ML or AI.

You will enjoy this role if

  • You like turning an AI demo into a reliable product.
  • You want your work used by real clients, every day.

What you get

  • Direct work on Google-referred projects, alongside Google Cloud teams.

Type: Remote, contract or full time.

This is a remote position.

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