Machine Learning Engineer

Software Engineer ML Platform:

Job Responsibilities:

• Design, develop, and launch strategic machine learning solutions, driving business-wide innovation utilizing AI and analytical techniques at scale.
• Take full ownership of the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, engage in 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, develop solutions to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.
• 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.
• 3+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments, and operations.
• 3+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java.
• Experience developing large-scale distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).

Preferred Qualifications:

• MS or PhD in Computer Science or equivalent experience in ML.
• Experience working with distributed data and ML technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, SageMaker etc.).
• Experience dealing with real world large-scale datasets.
• Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment or large models.