Job
Description
AuxoAI is seeking an experienced DevOps Engineer with a strong background in cloud infrastructure, automation, and observability tools. The ideal candidate will have expertise in configuring, optimizing, and deploying Dataiku DSS in AWS environments. You will play a pivotal role in our DevOps projects, collaborating with cross-functional teams to build scalable infrastructure, integrate machine learning models, and ensure high system reliability and performance. Leveraging your expertise in cloud technologies, digital transformation, and AI/ML platforms, you will collaborate closely with clients and internal teams to understand their unique challenges, identify opportunities for improvement, and design tailored solutions that deliver measurable value. Responsibilities Dataiku Developers will be responsible to build and manage MLOps Pipeline They will be involved in data pre-processing, feature engineering, model training, and optimization of machine learning algorithms along with building and maintaining data pipelines and workflows through Dataiku They will monitor and manage system performance and reliability using observability tools like Prometheus, Grafana, Alert Manager, Splunk (or ETL stack) and Pager Duty Design, deploy, and maintain cloud infrastructure on AWS and/or Google Cloud Develop Integrate RESTful APIs to ensure seamless communication between service and applications They will work closely with clients to understand their requirements, tailor solutions to their specific needs, and provide technical guidance and support throughout the project lifecycle Drive continuous improvement initiatives, proactively identifying areas for optimization and innovation to maximize client value while troubleshooting and optimizing Dataiku performance and scalability Qualifications Bachelors Degree in Computer Science, Information Technology, Computer Information Systems, or relevant working experience Proficiency in Python, R, React, NodeJS, and Jupyter notebooks Certification in Dataiku Platform Experience with Docker or Kubernetes Hands-on experience with AWS and/or GCP Familiarity with observability tools like Prometheus, Grafana, Alert Manager, Splunk (or ELK stack), PagerDuty Strong troubleshooting skills and a keen appetite for learning new technologies Good understanding of Unix/Linux operating system internals
