Junior Machine Learning Engineer

at  Grid Dynamics

We are looking for a Junior Machine Learning Engineer with a background in product discovery and recommendation systems.

Essential functions

• Data preparation for Training and evaluation Replicate training
• Fine-tuning and evaluation processes for ML models
• Evaluation of ML outputs (visual, metrics, …)

Qualifications

• Skills: Linux, Python, SQL, AWS (reading data from DBs and S3)
• Familiar with PyTorch platform
• Basic knowledge of AI/ML
• Familiarity with Stable Diffusion models is a bonus

Would be a plus

• Experience with Search or Conversational AI projects is a plus
• Knowledge of deep learning preferably PyTorch and computer vision Stable Diffusion

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

• Data preparation for Training and evaluation Replicate training
• Fine-tuning and evaluation processes for ML models
• Evaluation of ML outputs (visual, metrics, …