Mlops Engineer Job in Fractal Analytics Inc.

Responsibilities:

• Operate and maintain systems supporting the provisioning of new clients, applications, and features.
• Day-to-day monitoring of the Production service delivery environment to ensure all services and applications are operating optimally and SLAs are met.
• Software deployment and configuration management in both QA and Production environments.
• Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
• Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure
• Automate applications and infrastructure deployments.
• Produce build and deployment automation scripts to integrate between services
• Be a subject matter expert on DevOps practices, CI/CD and Configuration Management with assigned engineering team
• Experience with one of the cloud computing platforms: Google Cloud, Amazon Web Service, Azure, Kubernetes.
• Experience in MLFlow, Qubeflow, MLTracking, MLExperiments
• Experience in big data technologies preferred: Hadoop, Hive, Spark, Kafka.
• Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.

Skills:

• At least 3 years experience working with cloud-base services and DevOps concepts, tools and practices
• Extensive experience with Unix/AIX/Linux environments
• Experience with Kubernetes or Docker Swarm
• Experience working in cross-functional Agile engineering teams
• Familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines
• Experience with scripting and coding using Python, Shell
• Experience with configuration using tools such as Chef, Ansible
• Experience with automation servers such as Jenkins, CloudBees, Travis
• Experience with logging tools such as Splunk, ElasticSearch, Kibana, Logstash
• Experience with monitoring tools such as Munin, Prometheus, Grafana, AlertManager, PagerDuty
• Big data technical stack experience is a plus such as HDFS, Spark, Ambari, ZooKeeper, Kafka
• Excellent Written and Verbal Communication Skills
• Ability to collaborate effectively with highly technical resources in a fast-paced environment
• Ability to solve complex challenges/problems and rapidly deliver innovative solutions