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Machine Learning Engineer
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Machine Learning Engineer
hace 4 semanas
1 week ago Be among the first 25 applicants We are seeking a Machine Learning Engineer to join our team and support the GenAI initiative. In this role, you will focus on designing, improving, and optimizing backend infrastructure to power LLM-based applications using OpenAI APIs. Your skills in MLOps, CI/CD, observability, and cloud-native technologies will be essential to ensure the reliability, scalability, and efficiency of AI-driven systems. Responsibilities Develop and improve backend infrastructure for AI and LLM-based solutions Integrate and oversee LLM applications within cloud environments Scale AI systems to meet performance and reliability requirements Implement automated deployment processes through CI/CD pipelines Track and maintain the performance of AI services to ensure consistency Establish logging and observability frameworks for monitoring LLM API performance Collaborate with DevOps teams to streamline workflows and enhance system dependability Work closely with AI and Data Science teams to develop and enhance application features Leverage cloud platforms, especially Azure, to deploy and scale AI-powered applications Design and build APIs and microservices to support AI-driven functionalities Requirements At least 2 years of experience in Machine Learning Engineering with a focus on backend and software development Strong expertise in integrating and working with OpenAI APIs and other AI services Hands-on experience with MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation Proficiency with monitoring and observability tools, including Grafana, Dynatrace, and ThoughtSpot Comprehensive knowledge of cloud platforms, particularly Azure, as well as Apache Spark and Databricks Advanced Python programming skills for backend development and implementation Proven experience in designing and building APIs and microservices architecture Fluency in English, both verbal and written, with a minimum proficiency level of B2+ Nice to have Knowledge of Data Science principles and workflows Experience with Large Language Models (LLMs) Understanding of Natural Language Processing (NLP) methodologies and applications We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Associate Employment type Full-time Job function Engineering, Information Technology, and Business Development Industries Software Development IT Services and IT Consulting Retail #J-18808-Ljbffr
