We are seeking a Senior Machine Learning Engineer to join our team and contribute to the GenAI project. In this role, you will focus on designing, building, and optimizing backend systems that support LLM-driven applications using OpenAI APIs. You will leverage your expertise in MLOps, CI/CD, observability, and cloud-native technologies to ensure the scalability, reliability, and performance of AI-powered solutions.
Responsibilities
Develop and optimize backend services for AI and LLM-based applications
Integrate and manage LLM-based applications in cloud environments
Scale AI applications to meet performance and reliability requirements
Implement CI/CD pipelines to automate deployment processes
Monitor AI services to ensure performance and reliability
Establish observability and logging for tracking LLM API performance
Collaborate with DevOps teams to streamline workflows and improve system uptime
Work closely with AI and Data Science teams to enhance application functionality
Leverage cloud platforms, with a preference for Azure, to host and scale AI solutions
Design and develop APIs and microservices to enable AI-powered features
Requirements
At least 3 years of experience in Machine Learning Engineering with a focus on software and backend systems
Strong expertise in integrating and working with OpenAI APIs and AI services
Proficiency in MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation
Hands-on experience with monitoring and observability tools like Grafana, Dynatrace, and ThoughtSpot
Deep understanding of cloud platforms, particularly Azure, as well as Apache Spark and Databricks
Strong Python programming skills for backend development
Experience in designing and implementing APIs and microservices architecture
Fluent English communication skills, both written and spoken, at a B2+ level or higher
Nice to have
Knowledge of Data Science principles and techniques
Experience working with Large Language Models (LLMs)
Familiarity with Natural Language Processing (NLP) concepts and applications
We offer
Career plan and real growth opportunities
Unlimited access to LinkedIn learning solutions
Constant training, mentoring, online corporate courses, eLearning and more
English classes with a certified teacher
Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
Flexible work schedule and dress code
Collaborate in a multicultural environment and share best practices from around the globe
Hired directly by EPAM \& 100% under payroll
Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
Major medical expenses insurance: Life, Major medical expenses with dental \& visual coverage (for the employee and direct family members)
13 % employee savings fund, capped to the law limit
Grocery coupons
30 days December bonus
Employee Stock Purchase Plan
12 vacations days
Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th \& 31st)
Monthly non-taxable amount for the electricity and internet bills
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.
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