MLOps Engineer en Niuro

Remoto (8 ubicaciones) | Senior | Full time | Machine Learning / AI

Sueldo bruto $2500 - 3000 USD/mes

4 postulaciones

Responde entre 1 y 3 días

💤 Revisado por última vez hace 12 días

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Niuro is a global technology company dedicated to connecting elite tech teams with leading U.S. enterprises. We focus on delivering innovative industrial data projects that drive transformation and foster innovation. By partnering with top-tier companies in the United States, we enable our teams to work on impactful challenges in a collaborative and technically rigorous environment. Our projects typically involve developing scalable, automated machine learning pipelines, leveraging cloud services, and integrating cutting-edge MLOps tools to ensure continuous delivery and operational excellence.

As part of Niuro, you will contribute to these projects with a strong emphasis on automation, reliability, and scalability of ML solutions, while benefiting from our commitment to professional growth, training, and leadership development.

Role and Responsibilities

As a Senior MLOps Engineer at Niuro, you will be responsible for designing, implementing, and maintaining robust machine learning operations pipelines to support large-scale data and ML workflows.

Build and manage end-to-end ML lifecycle automation using tools like Databricks and MLflow.
Collaborate closely with data scientists, software engineers, and project stakeholders to streamline model deployment, monitoring, and versioning.
Develop and optimize batch processing pipelines on Linux environments to ensure efficient data throughput.
Implement best practices for CI/CD within ML workflows using Bitbucket repositories and automated testing frameworks.
Ensure infrastructure reliability, scalability, and security for ML production environments.
Troubleshoot and resolve operational issues related to ML systems and data workflows.
Contribute to the team's continuous improvement by sharing knowledge, mentoring juniors, and participating in architecture discussions.

Required Skills and Experience

We are looking for experienced MLOps engineers with a strong technical background in operationalizing machine learning models and workflows in production environments. The ideal candidate will have:

Deep hands-on experience with Databricks for big data processing and ML model management.
Proficiency in using MLflow for experiment tracking, model registry, and deployment pipelines.
Strong Python programming skills, especially for scripting automation tasks and pipeline development.
Experience working with Bitbucket for source code management and CI/CD integration.
In-depth knowledge of designing and managing batch processing systems, optimizing job scheduling and resource allocation.
Comfortable working in Linux environments, with solid command-line skills and system administration basics.
Good conversational English skills to effectively communicate with our U.S.-based teams and stakeholders.
Strong problem-solving skills, attention to detail, and ability to work autonomously in a remote setting.
Prior experience in collaborative remote teams and agile methodologies is a plus.

We value individuals who are proactive learners and continuously seek innovative solutions to complex ML operational challenges.

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or GCP, especially their ML and data pipeline services.
Familiarity with containerization tools like Docker and orchestration frameworks such as Kubernetes.
Knowledge of infrastructure-as-code (IaC) tools like Terraform or CloudFormation.
Exposure to real-time data streaming technologies such as Kafka or AWS Kinesis.
Background in software engineering practices including unit testing, code reviews, and design patterns.
Previous experience in mentoring or leading technical teams.

What We Offer

At Niuro, we provide a fully remote work environment with a flexible schedule that allows you to work from anywhere within the LATAM region. We believe in fostering a culture of continuous learning and professional development through ongoing training programs in both technical and leadership skills.

We offer the opportunity to join projects that are technically challenging and impactful in the industrial data space, enabling you to grow your skill set and advance your career. Our supportive infrastructure handles all administrative tasks including hiring, payments, and training so you can focus entirely on your core responsibilities.

Successful collaboration on initial contracts often leads to longer-term, stable employment opportunities, reinforcing our commitment to our team members’ career paths.

GETONBRD Job ID: 55115

Política de trabajo remoto

Remoto sólo localmente

El trabajo es 100% remoto, pero los candidatos deben residir en Sudamérica, Honduras, México, Nicaragua, Costa Rica, El Salvador, Guatemala o República Dominicana para postular.

Acerca de Niuro

Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. — Perfil completo de Niuro

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