Machine Learning Engineer

Lumenalta; United States; Remote; USD 80,000 - 140,000; Full time

Benefits offered by this job

Health insurance

401K Contribution

15 days PTO

Professional development fund

Flexible working hours

Job summary

Lumenalta is seeking an experienced MLOps Engineer to operationalize machine learning at scale on the Databricks platform. This role bridges data engineering and ML, building pipelines and workflows that move models from experimentation to production deployments.

The position requires 3–5+ years in MLOps or DevOps for ML, hands-on MLflow experience, and familiarity with Databricks. You will implement CI/CD for ML and monitor models in production while collaborating with data scientists and

Qualifications

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

Responsibilities

• Design and maintain MLflow-based workflows for experiment tracking, model registry, and lifecycle management.
• Build and manage Feature Store infrastructure for reusable pipelines across teams.
• Develop deployment pipelines with serving infrastructure, A/B testing, versioning, and rollback strategies.
• Implement ML-focused CI/CD pipelines with automated testing and deployment gates.
• Orchestrate distributed model training on Databricks for performance and cost efficiency.
• Monitor deployed models for drift and performance, triggering retraining when needed.
• Collaborate with Data Scientists and Data Engineers to reduce friction between experimentation and production.

Skills

MLOps

CI/CD for ML

Model monitoring

Distributed training experience

Databricks platform

Tools

MLflow

Databricks

Feature Store

Job description

# Machine Learning EngineerAI EngineerAt 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’re seeking an experienced MLOps Engineer responsible for operationalizing machine learning at scale on the Databricks platform. This role bridges data engineering and ML, building the infrastructure and workflows that take models from experimentation to reliable production deployments.#### Future Opportunity Role – Talent PipelineThis is a future opportunity role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.#### What You'll Be Doing* 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.* 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.#### What We're Looking For* 3–5+ years in MLOps, ML platform engineering, or DevOps for ML, with proven production ML deployments.* Hands-on expertise with MLflow for tracking, registry, and project management within Databricks or standalone environments.* Experience building and consuming Feature Store solutions (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.#### Why Lumenalta is an amazing place to work atAt Lumenalta, you can expect that you will:* Be 100% dedicated to one project at a time so that you can innovate and grow.* Be a part of a team of talented and friendly senior-level developers.* Work on projects that allow you to use leading tech.#### LocationThis is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.#### Application DeadlineApplications will be accepted until **September 20th, 2026**. Candidates can expect feedback by **September 28th, 2026**.## Salary**Salary range:** $80k - $140k annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.## BenefitsIn addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:* Flexible working hours in a remote environment.* Health insurance (medical and dental) for W2 Employees.* 401K Contribution.* A professional development fund to enhance your skills and knowledge.* 15 days of paid time off annually.* Access to soft-skill development courses to further your career.## Position DetailsThis is a full-time position requiring a minimum of **40 hours per week, Monday through Friday**.At **Lumenalta**, we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members.