Senior Machine Learning Engineer (Scala + Spark)
We're seeking a highly experienced Senior Machine Learning Engineer with a proven track record in deep learning research and implementation. If you thrive on tackling complex challenges and pushing the boundaries of AI, we want to hear from you.
Essential functions
Research & Development: Design, develop, and implement advanced deep learning models for predictive and discriminative tasks.
Deep Neural Network Expertise: Leverage extensive experience in building and optimizing complex neural network architectures.
Data Engineering Support: Contribute to data collection and processing utilizing Scala and Spark.
Performance Optimization: Optimize model training throughput and efficiency.
Deployment & Infrastructure: Assist with Kubernetes deployment and related infrastructure tasks.
Qualifications
Extensive professional experience in researching and building powerful predictive/discriminative deep neural networks.
Demonstrated ability to develop and deploy complex deep learning models.
Experience with data processing and ideally experience with Scala/Spark.
Experience with model training throughput tuning.
Experience with Kubernetes and related deployment procedures
Would be a plus
PhD in Machine Learning with publications in top-tier conferences and journals.
Background in music technology, music computing, or digital signal processing.
Publication record in scientific journals.
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.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.
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