Lead AI Engineer

EPAM Systems; Brasil; Remote; BRL 180,000 - 340,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling & certification

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Job summary

EPAM Systems in Brazil seeks a Lead AI Engineer to design scalable ML architectures, build robust pipelines, and drive ML systems from concept to production. You will own the lifecycle from problem formulation to deployment, collaborating with cross-functional teams to deliver impactful AI solutions.

You will lead by example, applying MLOps practices and modern DL methods to production-grade systems, and ensure performance, reliability, and cost efficiency across large datasets and services.

Qualifications

• Over 5 years of experience in machine learning engineering or a related discipline.
• At least 1 year of applicable leadership experience.
• Strong expertise in MLOps practices for overseeing the ML lifecycle.
• Skilled in PySpark and Python for developing scalable data and ML pipelines.
• Proven background in designing and launching production-grade ML systems.
• Solid understanding of batch and real-time data processing architectures.
• Experience handling large-scale structured and unstructured datasets.
• English language skills at a B2 level or above.

Responsibilities

• Manage the complete ML systems lifecycle from problem formulation to deployment and monitoring.
• Create scalable ML architectures with batch and real-time pipelines.
• Handle large-scale structured and unstructured datasets (clickstream, transactional, text, image).
• Build and launch models (recommendation, ranking, forecasting, classification/regression).
• Utilize deep learning methods (neural networks, transformers, representation learning).
• Establish feature stores, model registries, and experiment tracking systems.
• Ensure production readiness by optimizing latency, scalability, reliability, and cost.

Skills

Leadership

MLOps

PySpark

Python

Production-grade ML

Cross-functional collaboration

Tools

MLflow

Apache Kafka

PyTorch

Spark

Job description

We are seeking a Lead AI Engineer to manage machine learning systems from initial concept through to production launch. This role involves designing scalable ML architectures, building robust pipelines, and working with cross-functional teams to deliver effective AI solutions.ResponsibilitiesManage the complete ML systems lifecycle, covering problem formulation, data collection, feature engineering, model training, evaluation, deployment, and monitoringCreate and implement scalable ML architectures, including both batch and real-time pipelinesHandle large-scale structured and unstructured datasets, such as clickstream, transactional, text, and image dataBuild and launch models like recommendation systems, ranking models, forecasting models, and classification/regression systemsUtilize deep learning methods, including neural networks, transformers, and representation learning, as neededEstablish and maintain feature stores, model registries, and experiment tracking systemsGuarantee production readiness by optimizing for latency, scalability, reliability, and cost efficiencyPartner with engineering, product, and business teams to establish KPIs and success metricsRequirementsOver 5 years of experience in machine learning engineering or a related disciplineAt least 1 year of applicable leadership experienceStrong expertise in MLOps practices for overseeing the ML lifecycleSkilled in PySpark and Python for developing scalable data and ML pipelinesProven background in designing and launching production-grade ML systemsSolid understanding of batch and real-time data processing architecturesExperience handling large-scale structured and unstructured datasetsEnglish language skills at a B2 level or aboveNice to haveExperience with Apache Kafka and MLflowKnowledge of machine learning concepts and PyTorchWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.