Sr Software Engineer, MLOps
Role details
Job location
Tech stack
Job description
We are seeking a Sr MLOps Engineer to build the model lifecycle, deployment, observability, and infrastructure foundations used by multiple production AI features, including recognition, AI Video Search, Multimodal AI, Agentic AI, and Energy AI ship faster with shared, reliable platform primitives. In this role, you will be responsible for:
- Build model registry, model serving, deployment, rollback, and CI/CD systems for production AI services.
- Own feature, dataset, model, and prompt versioning patterns across AI products.
- Standardize training, evaluation, release, monitoring, and operational workflows for AI teams.
- Improve reliability, cost efficiency, latency, and repeatability of AI launches.
- Create reusable platform patterns across AI features
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Requirements
- Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or
- Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
- Experience building production ML platforms, model serving systems, or MLOps workflows
- Strong Python and cloud engineering skills
- Experience with CI/CD, Git, infrastructure-as-code, and production monitoring
- Familiarity with model registry,
, validation, deployment, rollback, and observability * Ability to communicate tradeoffs clearly across engineering, data science, and product teams Preferred Qualifications:
- Experience with GCP/AWS, Cloud Run, Kubernetes, Vertex AI, SageMaker, MLflow, or equivalent tools
- Experience with AI services for computer vision, LLMs, multimodal models, or recommendation systems
- Experience with data validation, dataset versioning, feature stores, or model quality monitoring
- Experience optimizing cost, latency, reliability, and operational readiness for AI systems
- Experience with IoT, edge AI, smart home, or distributed device environments
Benefits & conditions
Working at Vivint: Learn about the Vivint Culture and why it's a great place to grow your career! Here are some highlighted perks you should ask us about:
- Paid holidays and flexible paid time away
- Employee/Friends/Family Discounts
- Medical/dental/vision/life coverage & 24/7 Medical Hotline
- 401(k) + Employer Match
- Employee Resource Groups
The base salary range for this position is: $150K to $180K* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf) Official description on file with Talent.