Senior Machine Learning Engineer @ Grid Dynamics in Grid Dynamics

We are looking for ML Engineer to join Artificial Intelligence team which focuses on applying cutting-edge machine learning techniques. As a Machine Learning Engineer, you will collaborate with talented researchers and engineers to design, develop and deploy machine learning models that drive impactful solutions across our product suite. Your expertise will help us push the boundaries of technology and deliver unparalleled user experiences.

• Strong understanding of machine learning principles, especially in the context of LLMs.
• 5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch
• Skills in Java/scala (preferred)
• Experience building scalable deep learning systems
• Experience with large scale datainfrastructure
• Strong verbal and written communicationsskills with the ability to work effectively across internal and external organizations and virtual teams.
• BS/BA or equivalent degree in computer science or similar (preferred).

We are looking for ML Engineer to join Artificial Intelligence team which focuses on applying cutting-edge machine learning techniques. As a Machine Learning Engineer, you will collaborate with talented researchers and engineers to design, develop and deploy machine learning models that drive impactful solutions across our product suite. Your expertise will help us push the boundaries of technology and deliver unparalleled user experiences. 

,[Build machine learning tooling to facilitate various phases of the ML lifecycle from model training, data ETL, end-to-end model evaluation and deployment, Work with technical and non-technical stakeholders to build solutions to align LLMs for specific use cases., Deliver reusable and easy-to-use tooling to integrate with existing data and machine learning systems]
Requirements: Python, LLM, PyTorch, Java, ETL, Jax, TensorFlow
Tools: Jira, Agile, Scrum.
Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, In-house trainings, Team Events, Private health care, 5 additional sick leave days, Benefit platform, knowledge sharing environment, Free coffee, Bike parking, Free snacks, Free beverages, Modern office, Startup atmosphere, No dress code, Free breakfast, Kitchen, Play room, Shower.