Plata Card

MLOps Senior [Risk Team]

Worldwide Full-time Remote
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Job Description

<p>We are looking for <strong>Senior MLOps Engineer</strong> to join our Risk team. <strong>Risk team </strong>is responsible for automated IT solutions in risk management processes. Within this process we solve the tasks for creating models and inference it on production in real-time with specified SLA, integrate tons of external services and make decisions only on data.<br><br>Our Data Science team develops scoring models including neural network-based approaches, and we need to industrialize the entire ML lifecycle. We are looking for an <strong>MLOps Engineer</strong> to build ML infrastructure from scratch — from automated training pipelines to a unified feature platform serving both DWH research and real-time production inference.<br><br></p>

<div><strong>Challenges That Await You</strong></div>

<ul>

<li>Conduct evaluation of Feature Store / Feature Registry solutions (Feast, Tecton, or custom), prepare a recommendation, design the architecture and feature lifecycle process (experiment → stable → production). Lead the implementation by engineering and platform teams</li>

<li>Design, build, and own ML training and deployment pipelines: experiment tracking, model registry, CI/CD for models, packaging and handoff to production. Select the platform (MLflow or alternatives), establish versioning and validation standards, and evolve the infrastructure continuously</li>

<li>Select tooling and set up monitoring of model quality (drift, degradation) and feature health (freshness, data quality) in collaboration with the DS team. Define the alerting and response process</li>

</ul>

<div><strong>What Makes You a Great Fit</strong></div>

<ul>

<li>3+ years of experience in ML Engineering, Data Engineering, or DevOps with hands-on involvement in deploying and maintaining ML systems in production</li>

<li>Experience building ML training pipelines with experiment tracking and model registry (MLflow, W&B, or similar)</li>

<li>Understanding of feature store concepts and train-serve consistency challenges</li>

<li>Strong Python skills; understanding of ML frameworks enough to package, serve, and debug models</li>

<li>Experience with Docker and ML pipeline orchestration (Kubeflow, Argo Workflows, Metaflow, or similar)</li>

<li>Solid SQL skills and understanding of data warehouse architecture</li>

<li>B1 or higher English level for effective communication with an international team</li>

</ul>

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<div class="tn-atom"><strong>Our ways of working:</strong></div>

</div>

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<div class="tn-atom">

<ul>

<li><strong>Innovative Spirit: </strong>A commitment to creativity and groundbreaking solutions</li>

<li><strong>Honest Feedback:</strong> valuing open, transparent communication</li>

<li><strong>Supportive Team: </strong>a strong, collaborative community</li>

<li><strong>Celebrating Achievements: </strong>recognizing our wins together</li>

<li><strong>High-Tech Environment:</strong> a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances</li>

</ul>

</div>

</div>

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<div class="tn-atom"><strong>Our benefits:</strong></div>

</div>

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<div class="tn-atom">

<ul>

<li data-list="bullet"><strong data-stringify-type="bold">Relocation support</strong> to one of our hubs — Cyprus, Serbia, Georgia or Kazakhstan — with assistance for the employee and their family</li>

<li><strong>Flexible work </strong>from one of our offices or remote</li>

<li><strong>Healthcare</strong> <strong>Coverage</strong></li>

<li data-list="bullet"><strong>Education Budget:</strong> Language lessons, professional training and certifications</li>

<li data-list="bullet"><strong>Wellness Budget:</strong> Mental health and fitness activity reimbursements</li>

<li data-list="bullet"><strong>Vacation policy:</strong> 20 days of annual leave and paid sick leave</li>

</ul>

</div>

</div>

Frequently Asked Questions

What does the MLOps Senior [Risk Team] role at Plata Card involve?

The MLOps Senior [Risk Team] position at Plata Card in Worldwide is a full-time role. <p>We are looking for <strong>Senior MLOps Engineer</strong> to join our Risk team. <strong>Risk team </strong>is responsible for automated IT solutions in risk management processes. Within this process we solve the tasks for creating models and inference it on production in real-time with specified SLA, integrate tons of external services and make decisions only on data.<br><br>Our Data Science team develops scoring models including neural network-based approaches, and we need to industrialize the entire ML lifecycle.

What skills are required for MLOps Senior [Risk Team] at Plata Card?

Key skills for this role include: Python, Docker, CI/CD, RDS, SQL, Mlops.

What is the salary for MLOps Senior [Risk Team] at Plata Card?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the MLOps Senior [Risk Team] position at Plata Card remote or on-site?

This position is Remote. You can work from anywhere, subject to the employer's remote work policy.

How do I apply for MLOps Senior [Risk Team] at Plata Card?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

MLOps Senior [Risk Team] at Plata Card is a full-time other position in Worldwide. Key skills include Python, Docker, CI/CD, RDS, SQL, Mlops. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as remote and is suitable for senior-level professionals. Ghost Score 40/100 (Possibly Stale) indicates this listing is possibly stale — verify on the employer site.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.