Experience: 8 years, including 4 years in Machine Learning
Job Summary
We are looking for a Staff Machine Learning Engineer to lead the technical development of large-scale, production-grade Machine Learning systems.
You will work across ML model development, data pipelines, distributed processing, deployment, monitoring, and ML infrastructure.
Key Responsibilities
Design and develop large-scale ML systems.
Build and deploy production ML models.
Improve model accuracy, performance, scalability, and reliability.
Design and scale ML data-processing pipelines.
Develop ETL and distributed data-processing workflows.
Build ML libraries, frameworks, and internal tools.
Monitor and maintain production ML systems.
Troubleshoot production issues.
Work with Engineering, Product, and Data Science teams.
Mentor engineers and provide technical leadership.
Required Skills
8 years of software engineering experience.
4 years of hands-on Machine Learning experience.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Expert Python.
Strong PySpark experience.
Robust SQL.
Production ML deployment experience.
Distributed computing and large-scale datasets.
Linux and system administration.
Solid debugging and analytical skills.
Preferred
Hadoop
Scala
Distributed Systems
Big Data platforms
TDD
Agile development
Data architecture
To Apply
Please share your updated resume along with Current CTC, Expected CTC, Notice Period, and Current Location.