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Open nowFirst seen 44 hours ago

Senior Machine Learning Engineer

AIDA279 open roles

Where
Kyiv, Kyiv City, Ukraine, Remote
Work mode
Remote
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Your applicationOpen nowSenior Machine Learning EngineerAIDA · Kyiv, Kyiv City, Ukraine, Remote

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. AIDA postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 44 hours ago

AIDA median: 1 days open

The posting

Location: Remote / Hybrid (Kyiv)

Employment: Full-time

Time Zone: Partial overlap with US working hours

About the Role

We are looking for a Senior Machine Learning Engineer to join our client's team and build scalable, production-grade machine learning systems that power real-time personalization and intelligent decision-making.

In this role, you will own the complete machine learning lifecycle—from feature engineering and model development to deployment, monitoring, and continuous optimization. You'll work on large-scale ML solutions that directly impact customer engagement and business outcomes while collaborating closely with product and engineering teams.

If you enjoy solving complex engineering challenges, building reliable ML infrastructure, and delivering high-impact AI solutions, we'd love to hear from you.

Key Responsibilities

  • Design, develop, and deploy machine learning models for personalization, ranking, recommendation, and customer engagement.
  • Build scalable data pipelines that transform behavioral, demographic, and contextual data into high-quality online and offline features.
  • Develop and maintain low-latency prediction APIs and real-time decision services.
  • Implement experimentation frameworks, including A/B testing and exploration/exploitation strategies.
  • Build and maintain end-to-end MLOps pipelines, including automated model training, CI/CD, feature and model versioning, and deployment automation.
  • Monitor production ML systems by tracking data quality, model performance, drift, and business metrics, triggering retraining when required.
  • Create closed feedback loops that continuously improve model performance based on user behavior and business outcomes.
  • Collaborate with cross-functional teams to balance personalization, compliance requirements, and business objectives.

Requirements

  • 5+ years of commercial experience in Machine Learning Engineering, ideally working with recommendation systems, personalization, ranking, or advertising platforms.
  • Strong programming skills in Python or Go.
  • Advanced SQL skills and experience working with large-scale datasets.
  • Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, or similar.
  • Solid understanding of MLOps practices, including: CI/CD for machine learning Docker Kubernetes Airflow or Kubeflow Model registries ML monitoring and observability
  • Experience with cloud ML platforms such as Google Vertex AI, AWS SageMaker, or similar services.
  • Experience working with cloud data warehouses including BigQuery, Snowflake, or Amazon Redshift.
  • Experience deploying real-time ML systems, feature stores, and event-driven architectures.
  • Understanding of multi-objective optimization and personalization trade-offs.
  • Comfortable working in a fast-paced, product-oriented environment with partial overlap with US business hours.
  • Strong English communication skills.

Nice to Have

  • Experience in MarTech, AdTech, CRM, or large-scale personalization platforms.
  • Knowledge of bandit algorithms, reinforcement learning, or causal inference.
  • Experience building ML systems serving millions of users.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Familiarity with ML observability tools such as Prometheus, Grafana, Evidently, WhyLabs, or Great Expectations.

What We Offer

  • Long-term, stable project with meaningful technical challenges.
  • Opportunity to work on high-impact AI and machine learning solutions.
  • Flexible working hours with remote or hybrid work options.
  • Modern office in Kyiv equipped with generator and battery backup.
  • Competitive compensation package.
  • Medical insurance.
  • Structured onboarding and supportive team environment.
  • Professional growth and continuous learning opportunities.
  • Team-building events and company activities.
  • The opportunity to work with a Top Employer (DOU 2025).
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