Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
• 5+ years of experience in creating and deploying machine leaming models as endpoints.
• Proficiency in AWS services, especially Sage Maker.
• Experience working with Spark (preferably using Py Spark) Strong knowledge of MLOps best practices and workflows.
• Experience with containerization technologies, such as Docker.
• Profound communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Solid understanding of solution architecture and the ability to design scalable systems.
• Nice to have: experience in developing, deploying and maintaining LLMs (custom/enterprise) for text and images.

Key Responsibilities:

• Collaborate with teams to integrate ML solutions into existing infrastructure.
• Lead the design of scalable, secure ML architectures aligned with business needs, working closely with product managers.
• Build data pipelines and implement machine learning models to solve complex business challenges, utilizing AWS services like Sage Maker for scalability.
• Utilize Py Spark for data preprocessing and model training preparation.
• Deploy and els resi ask or Fat AP alongside Docker, focusing on custom LM fine-
• Effectively communicate with stakeholders to grasp business requirements and expectations.

Our perks

• Covered vacation period: 20 business days and 5 days off
• Free English classes
• Flexible working schedule
• Truly friendly and supporting atmosphere
• Working remotely or in one of our offices
• Medical insurance for employees from Ukraine
• Compensation of psychological counseling
• Legal support
• Relocation assistance