Senior Machine Learning Engineer
hace 2 semanas
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi‑national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting‑edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are looking for a Senior Machine Learning Engineer to join our team and contribute to the success of the GenAI initiative. In this position, you will focus on building, enhancing, and optimizing backend systems to support LLM‑powered applications using OpenAI APIs. Your expertise in MLOps, CI/CD, observability tools, and cloud‑native platforms will be key to ensuring the scalability, reliability, and efficiency of AI‑driven solutions. Responsibilities Design and enhance backend systems to support AI and LLM‑based applications Deploy and manage LLM applications within cloud environments Optimize AI systems to meet performance and reliability standards Develop automated deployment workflows using CI/CD pipelines Monitor and maintain the stability of AI services Establish observability and logging systems to track LLM API performance Work with DevOps teams to enhance workflows and ensure system reliability Collaborate with AI and Data Science teams to improve and expand application capabilities Utilize cloud platforms, particularly Azure, to deploy and scale AI solutions Create and implement APIs and microservices to enable AI‑powered functionalities Requirements A minimum of 3 years of experience in Machine Learning Engineering with a focus on backend and software development Extensive experience integrating and working with OpenAI APIs and similar AI services Proficiency in using MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation Hands‑on experience with observability and monitoring tools, including Grafana, Dynatrace, and ThoughtSpot Strong knowledge of cloud platforms, especially Azure, along with expertise in Apache Spark and Databricks Advanced Python skills for backend development and implementation Demonstrated experience in designing and building APIs and microservices architectures Fluency in English, both written and spoken, at a B2+ level or higher Nice to have Understanding of Data Science principles and methodologies Experience working with Large Language Models (LLMs) Familiarity with Natural Language Processing (NLP) techniques and tools 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 Mid‑Senior level Employment type Full‑time Job function Engineering, Information Technology, and Business Development Industries: Software Development, IT Services and IT Consulting, and Retail Location Mexico City Metropolitan Area #J-18808-Ljbffr
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Senior Machine Learning Engineer
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méxico Blackpoint Cyber A tiempo completoJoin to apply for the Senior Machine Learning Engineer role at Blackpoint Cyber 1 week ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Engineer role at Blackpoint Cyber Get AI-powered advice on this job and more exclusive features. Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting,...
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hace 2 semanas
Ciudad de México, Ciudad de México Mercado Libre A tiempo completoGestionar el ciclo de vida de modelos de Machine Learning en entornos productivos. Desarrollar y mantener la infraestructura backend vinculada a sistemas de Machine Learning. Proponer e implementar soluciones técnicas alineadas al negocio. Integrar y operacionalizar modelos junto a equipos de ciencia de datos e ingeniería. Diseñar automatizaciones y...
