Grid Dynamics is growing - super fast! We want to expand our Data Science team in Belgrade, who is maybe one of the strongest and coolest team out there! :)
A little bit more 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 omnichannel services, DevOps, and cloud enablement.
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Responsibilities:
- Evaluate and analyze machine learning model performance
- Analyze large amounts of data and images to identify anomalies and variations
- Inspect data quality, create pre-processing scripts and train Deep learning ML models at scale
- Implement scalable Computer Vision and Machine Learning algorithms
- Collaborate with computer vision machine learning engineers and quality engineers to apply machine learning to solve industrial problems
Requirements:
- Ideally 3+ years of experience working on Data Science or Machine Learning Engineer roles
- Experience in data analysis, data visualization, image processing and image analysis
- Strong software development skills with proficiency in Python is a must
- Experience applying machine learning frameworks, such as PyTorch, TensorFlow, and OpenCV
- Ability to analyze and debug complex algorithms
- Ability to explain and present analyses of machine learning concepts to a broad technical audience
- Good communication skills and interpersonal skills.
We offer:
- Opportunity to work on bleeding-edge projects
- Flexible schedule
- Medical insurance
- Benefits program
- Corporate social events
- Professional development opportunities
The selection process consists of:
- HR Interview
- Pre-screening test
- Technical Interview
- Non-Technical Interview
Taking into the account current pandemic, all steps are being done online. We are looking forward to hearing from you!
