Design, build, deploy, and operate production AI/ML systems on Google Cloud. Develop clean, tested Python; evaluate model quality; manage cloud networking and security; and ensure data and models remain within client boundaries. Explain AI trade-offs to clients, collaborate with Google Cloud teams, and own outcomes from prototype through reliable production use.
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.
Similar Jobs
Events • Food • Travel • Hospitality • Hotels & Resorts
Supervise the hotel operator team, manage schedules and performance, and ensure guest and internal calls are handled promptly. Coordinate guest requests across departments, train and coach staff, monitor communication systems, resolve escalated concerns, improve response times, and maintain service and performance reports. The role requires hotel operations or guest-service experience, strong leadership, proficiency with hotel communication systems and PMS, English fluency, and availability for varied shifts.
Top Skills:
Hotel Communication SystemsProperty Management Systems (Pms)
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Own semiconductor backend packaging assembly process development, optimization, and new product introduction. Define process records, windows, specifications, and capability targets while applying DOE, SPC, Six Sigma, FMEA, RCA, and structured problem solving to improve yield, reliability, cost, and process margins. Use MES, manufacturing data, analytics, and AI/ML for predictive control and anomaly detection. Introduce new materials and equipment, lead cross-functional execution, and coach process teams in a high-volume manufacturing environment.
Top Skills:
Ai/MlIndustry 4.0JmpMesPythonSemiconductor Packaging AssemblySQL
Security • Cybersecurity
Own global revenue recognition under ASC 606 and accounting processes including commissions, COGS, and leases. Review tax provisions, returns, transfer pricing, and subsidiary filings; support external audits and cross-functional reporting. Lead accounting projects, process improvements, and AI-driven workflow automation. Requires a CA, Big 4 high-tech experience, strong US GAAP and revenue recognition knowledge, ERP experience, advanced Excel skills, and excellent communication.
Top Skills:
Ai Automation ToolsAsc 340-40Asc 606ExcelMS OfficeNetSuiteUs Gaap
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
