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Senior MLOps Engineer (Remote)
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Senior MLOps Engineer (Remote)
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Jobright.ai AbsenceSoft is elevating the leave and accommodations experience and is looking to hire an MLOps Engineer. In this role, you will lead the development of scalable infrastructure for machine learning models, creating and managing end-to-end pipelines while collaborating with data scientists and engineers to streamline AI operations. Responsibilities: • Design and maintain CI/CD pipelines for model training, validation, deployment, and monitoring. • Automate infrastructure provisioning and container orchestration using tools like Terraform, Kubernetes, and Docker. • Build reusable components for training and inference workflows, including feature stores and pipeline templates. • Implement observability solutions for models in production (e.g., drift detection, performance logging, alerting). • Collaborate with data scientists to support LLM fine-tuning, RLHF training, and experiment tracking at scale. • Enable secure and scalable serving of models and AI agents via REST/gRPC APIs or streaming interfaces. • Optimize model versioning, artifact management, and auditability to comply with regulatory requirements. • Establish testing and validation frameworks for model reproducibility and rollback procedures. • Support real-time inference pipelines for agentic workflows and vector-based RAG systems. • Champion Responsible AI principles through guardrails, explainability tooling, and compliance alignment. • Participate in a highly compliant environment while assisting to maintain company controls and security within your job role. • Other duties as assigned. Qualifications: Required: • 5+ years of experience in DevOps, DataOps, or MLOps roles in enterprise-grade environments. • Proficient in cloud infrastructure (AWS, Azure, GCP) and container orchestration (Kubernetes, ECS, GKE, AKS). • Strong programming and scripting skills (Python, Bash, YAML) with deep familiarity with GitOps practices. • Hands-on experience with MLOps platforms such as MLflow, Kubeflow, Metaflow, or SageMaker Pipelines. • Knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, Argo, CircleCI) for ML deployment automation. • Understanding of LLM model training pipelines and deployment architectures, including RLHF and PEFT workflows. • Familiarity with vector DB integration, RAG frameworks, and secure model serving at scale. • Solid understanding of model governance, observability, lineage, and incident response protocols. • Strong communication skills and ability to collaborate cross-functionally in fast-moving teams. Preferred: • Infrastructure: Terraform, Docker, Kubernetes, Helm, ArgoCD, GitHub Actions • Monitoring & Logging: Prometheus, Grafana, Datadog, Sentry, EvidentlyAI • Data Tools: Airflow, dbt, Snowflake, Feature Store (Feast, Tecton) Company: AbsenceSoft provides leave and accommodation management SaaS solutions. Founded in 2013, the company is headquartered in Golden, Colorado, USA, with a team of 51-200 employees. The company is currently Growth Stage. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Senior MLOps Engineer (Remote)
role at
Jobright.ai 3 days ago Be among the first 25 applicants Join to apply for the
Senior MLOps Engineer (Remote)
role at
Jobright.ai AbsenceSoft is elevating the leave and accommodations experience and is looking to hire an MLOps Engineer. In this role, you will lead the development of scalable infrastructure for machine learning models, creating and managing end-to-end pipelines while collaborating with data scientists and engineers to streamline AI operations. Responsibilities: • Design and maintain CI/CD pipelines for model training, validation, deployment, and monitoring. • Automate infrastructure provisioning and container orchestration using tools like Terraform, Kubernetes, and Docker. • Build reusable components for training and inference workflows, including feature stores and pipeline templates. • Implement observability solutions for models in production (e.g., drift detection, performance logging, alerting). • Collaborate with data scientists to support LLM fine-tuning, RLHF training, and experiment tracking at scale. • Enable secure and scalable serving of models and AI agents via REST/gRPC APIs or streaming interfaces. • Optimize model versioning, artifact management, and auditability to comply with regulatory requirements. • Establish testing and validation frameworks for model reproducibility and rollback procedures. • Support real-time inference pipelines for agentic workflows and vector-based RAG systems. • Champion Responsible AI principles through guardrails, explainability tooling, and compliance alignment. • Participate in a highly compliant environment while assisting to maintain company controls and security within your job role. • Other duties as assigned. Qualifications: Required: • 5+ years of experience in DevOps, DataOps, or MLOps roles in enterprise-grade environments. • Proficient in cloud infrastructure (AWS, Azure, GCP) and container orchestration (Kubernetes, ECS, GKE, AKS). • Strong programming and scripting skills (Python, Bash, YAML) with deep familiarity with GitOps practices. • Hands-on experience with MLOps platforms such as MLflow, Kubeflow, Metaflow, or SageMaker Pipelines. • Knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, Argo, CircleCI) for ML deployment automation. • Understanding of LLM model training pipelines and deployment architectures, including RLHF and PEFT workflows. • Familiarity with vector DB integration, RAG frameworks, and secure model serving at scale. • Solid understanding of model governance, observability, lineage, and incident response protocols. • Strong communication skills and ability to collaborate cross-functionally in fast-moving teams. Preferred: • Infrastructure: Terraform, Docker, Kubernetes, Helm, ArgoCD, GitHub Actions • Monitoring & Logging: Prometheus, Grafana, Datadog, Sentry, EvidentlyAI • Data Tools: Airflow, dbt, Snowflake, Feature Store (Feast, Tecton) Company: AbsenceSoft provides leave and accommodation management SaaS solutions. Founded in 2013, the company is headquartered in Golden, Colorado, USA, with a team of 51-200 employees. The company is currently Growth Stage. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Mechanical Engineer” roles.
Denver, CO $108,000.00-$121,000.00 5 days ago Mechanical Project Engineer - Warehouse Automation
Denver, CO $95,000.00-$110,000.00 3 days ago Denver Metropolitan Area $95,000.00-$110,000.00 3 days ago Mechanical Project Manager - Building Design
Denver, CO $100,000.00-$140,000.00 2 weeks ago Field Service Engineer - Wind Turbine & Industry REMOTE
Field Service Engineer - Wind Technician REMOTE
Denver, CO $130,000.00-$170,000.00 2 days ago Denver, CO $75,000.00-$110,000.00 2 days ago Denver, CO $114,000.00-$174,000.00 1 day ago Denver, CO $120,000.00-$160,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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