MLOps Engineer in Uvik Software

Weare Uvik Software— aleader insoftware development with aglobal presence inthe world market and wework with the world’s most successful companies.Weare looking for aMiddle MLOps Engineer with excellent communication skills inEnglish.Requirements:—Over 3years ofexperience inMLOps, with experience inmonitoring, CI/CD, and building— pipelines for deploying models toproduction—Proficiency inAWS CloudFormation and Terraform for infrastructure automation—Strong programming skills, particularly inPython—Experience with AWS services and GCP, especially data pipeline components, CI/CD, Kubernetes, and ML-relevant managed services—Familiarity with container technology and orchestration platforms using Kubernetes—Experience with one ormore MLOps tools like Kubeflow, Clearml, MLflow, and AWS Sagemaker—Experience with one ormore model-serving solutions like AWS Sagemaker Endpoints, Nvidia Triton, orPytorch Serving—Familiarity with SQL (Clickhouse and MySQL) and workflow management platforms such asAirflow—Experience with solution infrastructure design and familiarity with Data Science systems and workflows, especially around model operationalization—Upper-intermediate level ofEnglish (B2)Responsibilities:▪️Review current DataScience flows onthe project and prepare specs for the centralized DataScience platform▪️Develop and implement the DataScience platform▪️Implement Reinforcement Learning (RL) solutions and different non-AI approaches toproduction▪️Create pipelines for deploying models and collaborate with developers responsible for displaying prices and with data analytics and data scientists who are developing models and algorithms▪️Create and maintain monitoring for models, business metrics, technical metrics, and data science metrics▪️Ensure stability ofthe entire infrastructure ofthe team▪️Develop AWS CloudFormation orTerraform templates for configuring AWS services▪️Design data pipelines for the ingestion, preprocessing, and distribution ofdata▪️Create and manage custom AWS modelsNice tohave:+Developing solutions using automation tools such asTerraform+Experience with Vertex AI, Vertex Pipelines, etc.+Stream processing platforms such asApache Kafka+Hadoop ecosystem, Apache Spark, orsimilar+Proficiency with monitoring tools such asGrafana, Prometheus, EvidentlyAIWeoffer:✔️12 sick leaves and 18paid vacation business days per year✔️Comfortable work conditions (including MacBook Pro and Dell monitor ineach workplace)✔️Smart environment✔️Interesting projects from renowned clients✔️Flexible work schedule✔️Competitive salary according tothe qualifications✔️Guaranteed full workload during the term ofthe contract✔️Corporate leisure activities✔️Game, lounge, sports zones.