Remote SR Software Systems Engineer-9366-Machine Learning-Python, Spark, PySpark, Large-scale distributed systems on cloud platforms

Description:

• Be a thought leader and forward thinker, helping drive an innovative vision for various products and platforms.
• Design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
• Lead the end-to-end software development lifecycle, including design, testing, deployment, and operations.
• Lead technical discussions and strategy, participate hands-on in design reviews, code reviews, and implementation.
• Craft high-performance, production-ready machine learning code for a next-generation real-time ML platform.
• Extend existing ML libraries and frameworks.
• Work closely with other engineers and scientists to accelerate model development, validation, and experimentation cycles.
• Integrate models and algorithms in production systems at a very large scale.
• Mentor and develop other engineers on the team, establish technical direction, and foster team culture.
• Uphold the highest standards of technical rigor in engineering and operational excellence.
• Build highly resilient and scalable systems and champion operational and process improvements.

Requirements:

• Degree in mathematics/computer science or related discipline.
• 4+ years of experience in the complete software development lifecycle, including design, coding, code reviews, testing, build processes, deployments, and operations.
• 4+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java.
• 3+ years of experience in leading the design and architecture of large distributed systems, preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience working with distributed data and ML technologies (e.g., MapReduce, Spark, Flink, Kafka, PySpark, SageMaker, etc.).
• Experience as a mentor, tech lead, or leading an engineering team.
• Adept at tackling highly complex, ambiguous, or undefined problems.

Benefits:

• Opportunity to work as a thought leader and drive innovation in machine learning solutions.
• Chance to lead the development of high-performance, production-ready machine learning code.
• Collaborate with a team of engineers and scientists to integrate models and algorithms at a large scale.
• Mentor and develop other engineers, establishing technical direction and fostering team culture.
• Uphold high standards of technical rigor and operational excellence in engineering.