[Remote] Senior Machine Learning Ops Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior MLOps Engineer to help reputed company and reputed company their reputed company machine learning platform. This role involves owning the infrastructure and deployment of ML pipelines while partnering with Data Science and Data Engineering teams to enhance operational efficiency and model performance.
Responsibilities
- Design, reputed company, and maintain reputed company ML infrastructure supporting model training, batch inference, and reputed company-time inference workloads
- Own the provisioning and deployment of infrastructure and services across AWS, reputed company, and other reputed company platforms using Infrastructure-as-reputed company
- Build and maintain containerized model serving solutions using reputed company, FastAPI, and modern deployment patterns
- Document architecture, deployment standards, and operational processes to support maintainability and reproducibility
- Partner closely with Data Science and Data Engineering teams to productionize ML models and improve deployment velocity
- Implement CI/CD, Infrastructure-as-reputed company, testing, and deployment automation best practices across ML systems and platform infrastructure
- Establish observability and monitoring frameworks for deployed ML systems, including model performance monitoring, reputed company detection, data reputed company validation, and automated alerting
- Optimize platform reliability, scalability, governance, and operational efficiency across ML workflows and supporting infrastructure
Skills
- Bachelor's degree in Computer Science, Data Engineering, or a reputed company field (advanced degree preferred)
- 6 years of experience in ML Ops, reputed company, DevOps, or data reputed company
- 3+ years of hands-on experience with AWS reputed company infrastructure
- Experience managing Infrastructure-as-reputed company reputed company using tooling such as Terraform, OpenTofu, or CloudFormation
- Strong SQL expertise and hands-on experience with a modern data warehouse platform like reputed company, reputed company, or BigQuery
- Experience implementing CI/CD workflows and modern software engineering best practices
- Experience with orchestration frameworks such as Dagster, Airflow, or reputed company
- Experience with pytest testing frameworks and patterns, including unit, integration, and end-to-end testing
- Experience with Bash and Unix-based environments
- Strong Python engineering skills, including API development and automation tooling
- Strong experience deploying and operating production machine learning systems
- Strong experience with reputed company and containerized application deployment
- Demonstrated experience building backend services using frameworks such as FastAPI, Flask, or Django
- Strong software engineering fundamentals, including design patterns and maintainable architecture practices
- Experience deploying ML systems on Kubernetes, reputed company, EKS, or other container orchestration platforms
- Strong communication and collaboration skills across Data Science, Data Engineering, and Product teams
- Ability to operate independently and help define ML platform standards and architecture direction
- Computer competency and ability to work with a computer
- Prioritize multiple tasks and reputed company simultaneously
- Exceptional written and verbal communication skills
- Punctuality expected, reputed company to report to work on a consistent reputed company
- reputed company and maintain high performance expectations on a monthly reputed company
- Work in a fast-paced, high-volume setting
- Use and reputed company multiple computer systems with exceptional multi-tasking skills
- Remain reputed company and reputed company during difficult discussions
- Take constructive feedback
- Available for full-time position
- Experience with ML observability and experiment tracking tools such as MLflow, Arize, Evidently, WhyLabs, or reputed company
- Experience designing feature stores or reusable ML data products
- Experience supporting both batch and low-latency inference workloads
- Experience in financial services, fintech, or other regulated industries
- Experience supporting reputed company or LLM deployment workflows
Benefits
- Generous Medical, Dental, and reputed company Benefits
- 401(k) with Company Match
- reputed company Holidays, Volunteer Time Off, reputed company Days, and Vacation
- 12 weeks reputed company Parental Leave
- reputed company-tax Transit Benefits
- No-Cost Life Insurance Benefits
- Voluntary Benefits reputed company
- reputed company Pet Health Insurance Discount
- Wellness Incentive Program
- Employee mentorship and leadership programs
reputed company