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Senior Machine Learning Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

We are seeking a **Senior Machine Learning Engineer** focused on AI Engineering to join our team working on the GenAI project. You will design and maintain scalable backend systems powering LLM\-driven applications using OpenAI APIs, ensuring high performance and reliability. Join us to build cutting\-edge AI solutions and advance your career in a dynamic environment. **Responsibilities** * Develop and optimize backend services for AI and LLM applications * Integrate and scale LLM\-based applications within cloud environments * Implement CI/CD pipelines to automate deployment processes * Monitor and optimize the performance of AI services * Ensure observability and maintain logging systems for LLM API tracking * Collaborate with DevOps and AI/Data Science teams to enhance system reliability * Manage cloud infrastructure, preferably Azure, for hosting AI applications * Design and develop APIs and microservices to support AI\-powered features **Requirements** * 3\+ years of experience in machine learning engineering with a backend focus * Proficiency in OpenAI APIs and AI service integration * Expertise with MLOps and CI/CD tools such as Orion, ArgoCD and Opsera * Skilled in monitoring and observability tools including Grafana, Dynatrace, and ThoughtSpot * Experience with cloud platforms, preferably Azure, and technologies like Apache Spark and Databricks * Advanced Python programming skills and microservices architecture knowledge * Excellent English communication skills at B2 (Upper\-Intermediate) level **Nice to have** * Knowledge of data science methodologies * Experience with natural language processing techniques * Familiarity with OpenAI API usage and features **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. *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*

Source:  indeed View original post
Juan García
Indeed · HR

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