Position: Staff Software Systems Engineer-Machine Learning Platform (Development) -Python, Spark, PySpark
Experience : 8 to 12 Years
Location : Remote/Bangalore
Job Responsibilities:
· Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
· Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
· Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks.
· Working closely with other engineers and scientists, lead solutions to accelerate model development, validation and experimentation cycles, and 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.
Basic Qualifications:
· Degree in mathematics/computer science or related discipline.
· 5+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
· 5+ 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.
Preferred Qualifications:
·
MS or PhD in Computer Science or equivalent experience in ML.
· Experience dealing with real-world large-scale datasets.
· Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment of large models.
· Prior experience in developing ML optimization techniques in frameworks like PyTorch and CUDA.
Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
