About the Job
About Aligned Automation
At Aligned Automation, we live
by our "Better Together" philosophy to build a better
world. As a strategic service provider to Fortune 500 companies, we help
digitize enterprise operations and drive impactful business strategies. Our purpose
goes beyond projects—we strive to deliver meaningful, sustainable change that
shapes a more optimistic and equitable future.
Our culture is deeply rooted in
our 4Cs—Care, Courage, Curiosity,
and Collaboration—ensuring that each employee is empowered to grow,
innovate, and thrive in an inclusive workplace.
About the Role
- Design, build, and maintain scalable MLOps platforms for training, deploying, monitoring, and managing machine learning models.
- Develop and optimize CI/CD pipelines for ML applications using GitLab CI, Jenkins etc.
- Containerize applications using Docker and orchestrate workloads using Kubernetes.
- Build and maintain ML pipelines using Kubeflow, MLflow, Airflow, Argo Workflows, or similar orchestration tools.
- Implement model versioning, experiment tracking, model registry, and reproducible ML workflows.
- Deploy ML models as REST/gRPC APIs using FastAPI, Flask, or similar frameworks.
- Configure monitoring, logging, and alerting using Prometheus, Grafana, Dynatrace, or Splunk.
- Optimize model serving performance, scalability, and resource utilization.
- Work closely with Data Scientists, Data Engineers, Platform Engineers, and Software Developers to productionize ML solutions.
- Ensure platform security, governance, and compliance following DevSecOps best practices.
- Troubleshoot production issues and perform root cause analysis for ML workloads.
Required Technical Skills
- Strong programming experience in Python.
- Hands-on experience with Docker, Kubernetes, Helm, and containerized deployments.
- Strong knowledge of Git, branching strategies, merge requests, and CI/CD.
- Experience with MLflow, Kubeflow, Airflow, or similar MLOps tools.
- Experience with Spark/PySpark and distributed data processing.
- Knowledge of REST APIs, FastAPI, Flask, and microservices architecture.
- Experience with Linux, Bash scripting, and automation.
- Familiarity with model monitoring, drift detection, feature stores, and model governance.
- Experience working with SQL and NoSQL databases.
- Strong understanding of software engineering principles, design patterns, testing, and code quality.
Preferred Skills
- Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks such as LangChain or lang-fuse.
- Experience with NVIDIA GPU workloads and model optimization.
- Knowledge of Kafka, RabbitMQ, or event-driven architectures.
- Exposure to feature stores such as Feast.
- Experience with OpenShift, Red Hat ecosystem, or enterprise Kubernetes platforms.
- Knowledge of security scanning tools such as Trivy, SonarQube, and vulnerability management.
Skills Required
- Strong programming experience in Python.
- Hands-on experience with Docker, Kubernetes, and Helm.
- Experience designing and optimizing CI/CD pipelines (GitLab CI, Jenkins).
- Experience with MLflow, Kubeflow, Airflow, Argo Workflows, or similar MLOps tools.
- Experience with Spark/PySpark and distributed data processing.
- Knowledge of REST/gRPC APIs and frameworks (FastAPI, Flask).
- Experience with Linux, Bash scripting, and automation.
- Familiarity with model monitoring, drift detection, feature stores, and model governance.
- Experience working with SQL and NoSQL databases.
- Strong understanding of software engineering principles, design patterns, testing, and code quality.
- Ability to communicate with customers, lead teams, and manage multiple projects.
- Experience with optimizing model serving performance, scalability, and resource utilization.
- Experience troubleshooting production issues and performing root cause analysis for ML workloads.
- Experience with LLMs, RAG, vector DBs, LangChain or lang-fuse.
- Experience with NVIDIA GPU workloads and model optimization.
- Knowledge of Kafka, RabbitMQ, or event-driven architectures.
- Exposure to feature stores such as Feast.
- Experience with OpenShift, Red Hat ecosystem, or enterprise Kubernetes platforms.
- Knowledge of security scanning tools such as Trivy and SonarQube.
What We Do
Technology, society, economy, policy – all moving at breakneck speed in our 21st century world. You’re feeling the pressure to quickly implement new business models, find new value, make split-second informed decisions and keep one step ahead of customers. How? The answer lies in the ability to make quick, accurate and sustainable business decisions. We believe digital offers a way of doing things better – but the journey to transformation doesn’t have to be painful. At Aligned Automation, we work hard to digitally enable your business strategy – connecting processes, technologies and people to unlock value and drive critical business outcomes.
