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AI/ML Engineer with 3+ years of experience building and deploying machine learning systems in production. Strong background in PyTorch and TensorFlow, data pipelines, and reliability-focused engineering to improve model quality and reduce latency. Experienced with MLOps practices including Docker, Kubernetes, and CI/CD, plus monitoring and issue resolution for model health. Collaborates with cross-functional teams and stakeholders to integrate AI capabilities into scalable cloud environments.…AI/ML Engineer with 3+ years of experience building and deploying machine learning systems in production. Strong background in PyTorch and TensorFlow, data pipelines, and reliability-focused engineering to improve model quality and reduce latency. Experienced with MLOps practices including Docker, Kubernetes, and CI/CD, plus monitoring and issue resolution for model health. Collaborates with cross-functional teams and stakeholders to integrate AI capabilities into scalable cloud environments.

Anton Stefanenko

AI Engineer, Data Scientist, DevOps Developer, +1

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AI/ML Engineer with 3+ years of experience building and deploying machine learning systems in production. Strong background in PyTorch and TensorFlow, data pipelines, and reliability-focused engineering to improve model quality and reduce latency. Experienced with MLOps practices including Docker, Kubernetes, and CI/CD, plus monitoring and issue resolution for model health. Collaborates with cross-functional teams and stakeholders to integrate AI capabilities into scalable cloud environments.…AI/ML Engineer with 3+ years of experience building and deploying machine learning systems in production. Strong background in PyTorch and TensorFlow, data pipelines, and reliability-focused engineering to improve model quality and reduce latency. Experienced with MLOps practices including Docker, Kubernetes, and CI/CD, plus monitoring and issue resolution for model health. Collaborates with cross-functional teams and stakeholders to integrate AI capabilities into scalable cloud environments.

Available to hire

AI/ML Engineer with 3+ years of experience building and deploying machine learning systems in production. Strong background in PyTorch and TensorFlow, data pipelines, and reliability-focused engineering to improve model quality and reduce latency.

Experienced with MLOps practices including Docker, Kubernetes, and CI/CD, plus monitoring and issue resolution for model health. Collaborates with cross-functional teams and stakeholders to integrate AI capabilities into scalable cloud environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

AI/ML Engineer | Data Scientist at EPAM Systems

June 1, 2023 - Present

Led development and deployment of ML models using PyTorch and TensorFlow, translating business needs into scalable solutions. Collaborated with US-based and international stakeholders and software/data teams to integrate AI models into cloud environments. Monitored model performance and resolved issues to improve response quality and reduce latency through continuous optimization. Implemented MLOps practices using Docker, Kubernetes, and CI/CD to ensure reliable model updates and production quality. Improved reliability by analyzing retrieval performance and applying corrective measures to maintain consistent and accurate AI outputs.

Machine Learning Engineer at Amazon Web Services (AWS)

May 1, 2021 - May 1, 2023

Built and optimized Python data-processing services with high concurrency to increase throughput under demanding workloads. Defined API contracts and data schemas to maintain compatibility with backend applications. Implemented telemetry to monitor model health and identify/resolving issues to sustain optimal performance. Collaborated on Docker and Kubernetes deployments to improve production reliability. Developed automated testing frameworks to validate model outputs and reduce production errors with pre-deployment checks.

Data Scientist | ML Engineer at Bitdefender

February 1, 2017 - May 1, 2021

Engineered feature pipelines transforming raw data into actionable insights for model training and deployment. Evaluated model performance using precision-recall analysis and optimized thresholds to reduce false positives and improve detection accuracy. Implemented reproducible ML experiments to ensure consistent preprocessing and evaluation. Partnered with security teams to investigate anomalies and translate insights into improved features and evaluation datasets. Integrated models into detection pipelines, maintaining reliability with structured logging and CI/CD support.

Python Backend Engineer at Cognizant Softvision

April 1, 2015 - February 1, 2017

Developed Python backend services with Flask, improving robustness of API contracts and data reliability via structured error handling. Designed efficient PostgreSQL access patterns for maintainable and scalable backend services. Supported frontend development by building reliable API endpoints for real-time updates. Wrote comprehensive tests for service logic and database interactions to improve code quality and reduce deployment errors. Investigated production issues by reproducing defects and implementing targeted fixes to improve operational reliability.