Senior AI Architect & Production ML Leader

EPAM Systems; Argentina; On-site; ARS 2,790,000 - 5,022,000; Full time

Benefits offered by this job

Healthcare benefits

Global career opportunities

Paid time off & sick leave

Upskilling & certification courses

Job summary

EPAM Systems is seeking a Lead AI Engineer to drive end-to-end ML delivery, from problem framing and data sourcing to deployment and monitoring. You will design scalable batch and real-time ML architectures, ship production-grade models across multiple use cases, and partner with engineering, product, and business stakeholders to define KPIs and outcomes.

You will lead the ML lifecycle, work with large-scale data, and build models such as recommender systems, forecasting models, and

Qualifications

• 5+ years of experience building and deploying ML systems in production environments.
• Experience designing scalable batch and real-time ML pipelines.
• Experience with large-scale structured and unstructured data (clickstream, transactions, text, images).
• Proven ability to develop recommendation, ranking, forecasting, and classification/regression models.
• Deep learning expertise with neural networks, transformers, and representation learning.
• Experience with feature stores, model registries, and experiment tracking.
• Strong collaboration to define KPIs and outcomes.
• English proficiency at B2 (Upper-Intermediate) level or higher.

Responsibilities

• Lead the full ML system lifecycle from problem formulation to monitoring.
• Design scalable ML architectures for batch and real-time pipelines.
• Work with large-scale datasets including clickstream, transactional, text, and image data.
• Build and deploy models such as recommendation systems, ranking models, forecasting models, and classification/regression systems.
• Apply deep learning methods including neural networks, transformers, and representation learning.
• Create and maintain feature stores, model registries, and experiment tracking systems.
• Ensure production readiness by optimizing latency, scalability, reliability, and cost efficiency.
• Partner with engineering, product, and business teams to define KPIs and success metrics.

Skills

Production ML systems

Scalable architectures

Large-scale data handling

Recommendations & forecasting

Deep learning

Experiment tracking

KPIs & metrics

English proficiency (B2+)

Tools

Feature stores

Model registries

Experiment tracking systems

Latency optimization tools

Job description

EPAM Systems is seeking a Lead AI Engineer to drive end-to-end ML delivery, from problem framing and data sourcing to deployment and monitoring. You will design scalable batch and real-time ML architectures, ship production-grade models across multiple use cases, and partner with engineering, product, and business stakeholders to define KPIs and outcomes.

You will lead the ML lifecycle, work with large-scale data, and build models such as recommender systems, forecasting models, and