Machine Learning Engineer

We are looking for someone who is a technology-agnostic polymath—committed to a lifelong journey of continuous learning and exploration of innovative scientific ideas—and will bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale.

Responsibilities:

• Optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
• Develop and test ML models using Python/Keras/Tensorflow/Spark stack.

Requirements:

• Experienced in developing and deploying machine learning systems into production.
• Strong experience with object-oriented/object function scripting languages: Python, Java, R, C++, Scala, etc.
• Strong experience working with a variety of relational SQL and NoSQL databases.
• Strong experience working with big data tools: Hadoop, Spark, Kafka, Scikit-learn, Tensorflow, Keras, Pytorch, Spark MLLIB, etc.
• Experience with at least one cloud provider solution (AWS, GCP, Azure).
• Experience with Platforms like H2O, Sage maker, MLFlow, Anaconda, etc.

We offer:

• Work with a highly motivated and dedicated team
• Flexible schedule
• Medical insurance
• Benefits program
• Corporate social events
• Professional development opportunities

About us:

Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omni-channels.