Senior Engineer, Python (Data & AI)
Job Description
Job description
About The Role
As a Senior ML Engineer you'll be:
- Working closely with product owners, other backend (Java & Python) engineers, data scientist and other business members to translate requirements into well-engineered solutions
- Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services. You build it, you own it mentality.
- Integrate already trained ML models in some of the services you develop.
- Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members.
- Regularly aligning your team's vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives
What We Are Looking For
- You have 6+ years of experience as a Backend Python Engineer (Senior/Lead)
- You have Understanding of software engineering fundamentals (OOP, SOLID, etc.)
- You have hands-on experience with frameworks such as Django, FastAPI or Flask
- You have extensive experience integrating with or creating REST APIs
- You have experience with creating and maintaining CI/CD pipelines - we use GitHub Actions.
- You have experience with event-driven architectures
- You have experience with AWS
- (Great to have) Experience with Databricks, ML feature store solutions, Kafka (or other message brokers)
OUR TECH STACK:
- Databricks on AWS
- Python Flask
- Snowflake
- Tecton - feature store
- Fiddler - model observability platform
What You'll Get In Return
- Competitive salary
- Self & Family Health Insurance
- Term & Life Insurance
- OPD Benefits
- Mental wellbeing through Plumm
- Learning & Development Budget
- WFH Setup allowance
- 15 days of Privilege leaves
- 12 days of Casual leaves
- 12 days of Sick leaves
- 3 paid days off for volunteering or L&D activities
- Stock Options
More Info
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About Company
Skills:
Kernel Internals, C, Spi, Linux Kernel Programming, Jtag, Linux Shell Scripting, I2c, Cryptography, Python, Hsm, Uart, Device Drivers, Can, Git, Yocto, Ethernet, Linux Bsp, Chain of Trust, Embedded Security, Buildroot, Tpm, BitBake, U-Boot, Automated build and testing tools, Secure Boot
Skills:
Performance Testing, Servicenow, Gcp, Incident Management, Cloud Infrastructure, Itil, Azure, AWS, Security and Compliance Testing, Major Incident Notification Tooling, AI-driven Quality Engineering Tools
Skills:
Python Automation, Tcl, MCMM analysis, CTS, ICC2, large-scale SoC designs, clock architecture, multi-die clock integration, Innovus, Timing Constraints, full-chip clock planning, multi-source clocking
Skills:
Embedded C, Python, Device Drivers, Microcontrollers, Memory-constrained systems, Timing-sensitive code, Peripheral interfaces
Skills:
Source Code Control Systems (GitHub), C, C++, Memory Management, Gradle, Debuggers, Performance Optimization, Build Engineering, Concurrent Programming and Threading APIs, Profilers, Automation Tooling, dependency management, Build Performance Tuning, Systems-level Development