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Staff Software Engineer-9398-Machine Learning

Staff Software Engineer-9398-Machine Learning

3 Months ago • 8-12 Years • Research & Development • Undisclosed

About the job

9 skills required for this role

Add these skills to join the top 1% applicants for this job

java

algorithms

spark

azure

aws

python

pytorch

cuda

innovation

Job Description

Seeking a Staff Software Engineer with 8+ years of experience in Machine Learning, Python, Spark, and PySpark. Lead the development of real-time ML platforms, design large distributed systems, and mentor engineers. Experience with cloud platforms (AWS, Azure, Google Cloud) is essential.

Must have:

Machine Learning
Python, Spark
PySpark, Cloud
Distributed Systems

Good to have:

MS or PhD
Large Datasets
End-to-End ML
PyTorch, CUDA

Perks:

Team of Engineers
Advancement Opportunities

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!

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