At AbsenceSoft, we’re transforming the employee experience. Our secure, intuitive technology helps employers bring humanity, certainty, and efficiency to some of the most complex moments in the workplace. Built by HR professionals for HR professionals, we’re proud of where we’ve been and even more excited about where we’re going.

We’re hiring an MLOps Engineer to lead the development of scalable, reliable, and secure infrastructure for training, deployment, and monitoring of machine learning models. In this role, you will build and manage end-to-end pipelines and services that support both traditional ML workflows and modern LLM/agentic systems. You’ll collaborate closely with data scientists, data engineers, and AI software engineers to streamline model lifecycle management and ensure robust, observable, and governed AI operations.

What you'll do

• Design and maintain CI/CD pipelines for model training, validation, deployment, and monitoring.
• Automate infrastructure provisioning and container orchestration using tools such as 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, including drift detection, performance logging, and 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 through APIs or streaming interfaces.
• Optimize model versioning, artifact management, and auditability to meet regulatory requirements.
• Establish testing and validation frameworks for reproducibility and rollback procedures.
• Support real-time inference pipelines for agentic workflows and RAG systems.
• Champion Responsible AI principles through guardrails, explainability tools, and compliance alignment.

What you'll bring

• 5+ years of experience in DevOps, DataOps, or MLOps roles within enterprise-grade environments.
• Expertise 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 and deployment architectures, including RLHF and PEFT workflows.
• Familiarity with vector DB integration, RAG frameworks, and secure model serving at scale.
• Strong understanding of model governance, observability, lineage, and incident response.
• Excellent communication and collaboration skills in fast-moving, cross-functional environments.

Nice to have

• Experience with MLflow, SageMaker Pipelines, Kubeflow, Metaflow, or ClearML.
• Infrastructure expertise with Terraform, Docker, Kubernetes, Helm, ArgoCD, or GitHub Actions.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, Datadog, Sentry, or EvidentlyAI.
• Experience with data tools such as Airflow, dbt, Snowflake, or feature stores (Feast, Tecton).
• Knowledge of vector search and RAG tools such as FAISS, Pinecone, Weaviate, LangChain, or LlamaIndex.

Why join us

At AbsenceSoft, we LEAD with our values:

Lead with Innovation - We create meaningful change through intelligence, focus and passion.  We embrace curiosity, data, and insight to shape the future of our industry. Always innovating, learning and evolving.

Elevate Every Voice - Every perspective matters. We listen, learn, and build a culture where diversity of thought and experience drives better solutions and smarter decisions.

Achieve Together - The customer fuels everything we do. We share knowledge, collaborate, celebrate wins, and face challenges as one team because success is always a collective achievement.

Drive Outcome - Every action we take delivers measurable value to our teams, our customers, and the employees they support. Accountability is non-negotiable. We honor our commitments, take responsibility for results, and see every success and setback as a chance to grow stronger.

We offer:

• Impact that matters. You’ll do work that shapes the future of the modern workplace
• Flexibility and trust. We’re remote-first and results driven. You’ll have the freedom and flexibility to do your best work, wherever you do it best.
• Growth and development. We believe the best work happens when people are growing. You’ll have access to learning resources, leadership programs, and real opportunities to take on new challenges and expand your impact.  
• Competitive rewards. We offer comprehensive benefits, a performance-based bonus program, and equity opportunities – because when we grow, you should too.
• Time for life. Recharge and reconnect with flexible time off, paid holidays, and flexible leave programs designed to support every season of life.
• Belonging and balance. We’re building an inclusive culture where every voice is valued, collaboration is celebrated, and success is shared.
• Compensation Transparency. Compensation range for this position is $188k - $219k annually, depending on experience and location.

We’re committed to building a team as diverse as the customers we serve. If your experience doesn’t align perfectly with every qualification, we still encourage you to apply – you might be exactly what we’re looking for. If this sounds like a fit, apply today, we’d love to meet you!