MLOps Engineer

About The Company

At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work. We are dedicated to fostering an innovative environment where talented professionals can thrive and contribute to meaningful projects that shape the future of technology. Our commitment to excellence and collaborative culture makes Lumenalta an ideal place for professionals seeking growth, challenge, and impactful work in the tech industry.

About The Role

We are seeking an experienced MLOps Engineer responsible for operationalizing machine learning at scale on the Databricks platform. This role serves as a critical bridge between data engineering and machine learning, focusing on building and maintaining the infrastructure and workflows that facilitate the transition of models from experimentation to reliable production deployments. The successful candidate will design and manage ML workflows, implement scalable deployment pipelines, and monitor model performance to ensure robustness and efficiency. This position offers an exciting opportunity to work with cutting-edge technology, contribute to innovative projects, and collaborate with talented teams to deliver scalable ML solutions. Please note that this is a future opportunity role, and while there may not be an immediate opening, qualified candidates will be considered for upcoming projects as part of our talent pipeline.

Qualifications

• 3–5+ years of experience in MLOps, ML platform engineering, or DevOps for ML, with a proven track record of deploying ML models in production environments.
• Hands-on expertise with MLflow for tracking, registry, and project management within Databricks or standalone environments.
• Experience building and consuming Feature Store solutions, such as Databricks Feature Store or equivalent.
• Proven experience deploying and serving ML models at scale, including real-time and batch inference patterns.
• Ability to design automated pipelines for model training, validation, and deployment using modern CI/CD tooling.
• Strong familiarity with Databricks for distributed training, job orchestration, and cluster management.
• Knowledge of model monitoring practices, including drift detection, alerting, and retraining triggers.

Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• Excellent problem-solving skills and ability to collaborate effectively with cross-functional teams.
  
  

Responsibilities

• Design and maintain MLflow-based workflows for experiment tracking, model registry, versioning, and lifecycle management.
• Build and manage Feature Store infrastructure to enable reusable, consistent feature pipelines across teams and use cases.
• Develop model deployment pipelines, including serving infrastructure, A/B testing support, versioning, and rollback strategies.
• Implement CI/CD pipelines tailored for ML workflows, including automated testing, validation gates, and deployment triggers.
• Orchestrate distributed model training on Databricks, optimizing for compute efficiency, reproducibility, and cost-effectiveness.
• Monitor deployed models for data drift, performance degradation, and system health, triggering automated retraining workflows as needed.
• Collaborate with Data Scientists and Data Engineers to reduce friction between experimentation environments and production systems.
• Maintain documentation and best practices for ML operations to ensure scalable and reliable deployments.
  
  

  Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

Benefits

• Opportunity to work on innovative projects with leading-edge technology.
• Fully remote work environment, offering flexibility for candidates in Latin America (LATAM).
• Collaborative and talented team of senior-level developers dedicated to your growth and success.
• Exposure to scalable ML infrastructure and advanced deployment techniques.
• Supportive environment that values transparency, autonomy, and impact.
  
  

Equal Opportunity

Lumenalta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage professionals from all backgrounds to apply and join our community of innovative thinkers and doers.