AuxoAI is seeking an experienced DevOps Engineer with a strong background in cloud infrastructure, automation, and observability tools. The idealcandidate will have expertise in configuring, optimizing, and deploying DataikuDSS 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 forimprovement, and designtailored 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 machinelearning algorithms along with buildingand maintaining data pipelines and workflows throughDataiku.
- They will monitor and manage systemperformance and reliability using observability tools like Prometheus, Grafana, Alert Manager,Splunk (or ETL stack) and Pager Duty.
- Design, deploy, and maintaincloud infrastructure on AWS and/orGoogle Cloud
- Develop & Integrate RESTfulAPIs to ensure seamless communication between service and applications.
- They will work closelywith clients to understand their requirements, tailorsolutions to theirspecific needs, and provide technical guidance and supportthroughout the project lifecycle.
- Drive continuous improvement initiatives, proactively identifying areas for optimization and innovation to maximize clientvalue while troubleshooting and optimizing Dataikuperformance and scalability.
Qualifications - Bachelor s Degree in ComputerScience, 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.
