Google Cloud AI/ML Engineer

🕒 October 20

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Synthlane

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11 - 50 employees

🤝 B2B

💼 Consulting

🤖 Artificial Intelligence

B2B • Consulting • Artificial Intelligence

Synthlane is a senior-led, white-label engineering services firm based in Gurugram, India. Founded by a former Meta engineer, the company acts as an extension of agencies and cloud partners, delivering software development, application modernization, secure Google Cloud engineering, and AI/ML solutions under the client’s brand and NDA. Their offerings include secure GCP architecture (IAM and least-privilege design), Vertex AI/agents, retrieval-augmented generation (RAG), vector search, and automation integrated into customer products. Synthlane emphasizes security-first practices and keeps client relationships with the partner while handling engineering delivery.

📋 Description

• Design, build, and run AI systems end to end on Google Cloud • Develop production AI solutions for Google partners and their clients • Turn AI prototypes into reliable products • Work with client data under strict security requirements • Collaborate directly on Google-referred projects alongside Google Cloud teams • Take ownership of project outcomes

🎯 Requirements

• 3–10 years of software or ML engineering experience • Production AI work on Google Cloud • Understanding of machine learning fundamentals and selecting appropriate approaches • Experience measuring AI/ML quality through real evaluations and quantitative metrics • Experience taking AI systems from prototype to reliable production • Clean, tested Python code • Knowledge of cloud networking and security • Ability to keep data and models within security boundaries • Ability to clearly explain AI trade-offs to clients • 6 hours of overlap with North American Eastern time • Google Cloud certification in ML or AI is nice to have

🏖️ Benefits

• Direct work on Google-referred projects, alongside Google Cloud teams • Contract or full-time employment options • Remote work arrangement

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