Senior Machine Learning Engineer

Essential functions

As a key member of our team, you will be responsible for several critical activities, these include:

• Gathering and processing large datasets using Scala and Spark.

• Improving the overall performance of our machine learning workflows,

• Tuning the training process to achieve optimal throughput. Furthermore,

• Playing a vital role in deploying and maintaining our model on a Kubernetes platform, ensuring seamless integration with our existing infrastructure

Qualifications

• Proven experience in ML research demonstrated through relevant patents, whitepapers, technical books, or significant time spent as a research scientist in an industrial setting,

• Extensive experience in researching and building predictive/discriminative deep neural networks. Note: Strong data analysis and statistical skills alone are insufficient for this role,

• Proficiency in data collection, ideally using Scala/Spark,

• Knowledge in tuning training throughput for model training efficiency,

• Experience with Kubernetes deployment and associated technologies,

• A quick learner with the ability to adapt and tackle complex challenges.

Would be a plus

• PhD with an academic background and mindset,

• Background in music (e.g., music computing, digital signal processing),

• Science publications demonstrating a commitment to research excellence

• Physical presence in London for in-office collaboration.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.