Middle MLOps Engineer in Uvik Software

We are Uvik Software — a leader in software development with a global presence in the world market and we work with the world’s most successful companies.

We are looking for a Middle MLOps Engineer with excellent communication skills in English.

Requirements:

- Over 3 years of experience in MLOps, with experience in monitoring, CI/CD, and building - pipelines for deploying models to production

- Proficiency in AWS CloudFormation and Terraform for infrastructure automation

- Strong programming skills, particularly in Python

- 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 or more MLOps tools like Kubeflow, Clearml, MLflow, and AWS Sagemaker

- Experience with one or more model-serving solutions like AWS Sagemaker Endpoints, Nvidia Triton, or Pytorch Serving

- Familiarity with SQL (Clickhouse and MySQL) and workflow management platforms such as Airflow

- Experience with solution infrastructure design and familiarity with Data Science systems and workflows, especially around model operationalization

- Upper-intermediate level of English (B2)

Responsibilities:

▪️Review current DataScience flows on the 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 to production

▪️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 of the entire infrastructure of the team

▪️Develop AWS CloudFormation or Terraform templates for configuring AWS services

▪️Design data pipelines for the ingestion, preprocessing, and distribution of data

▪️Create and manage custom AWS models

Nice to have:

+Developing solutions using automation tools such as Terraform

+Experience with Vertex AI, Vertex Pipelines, etc.

+Stream processing platforms such as Apache Kafka

+Hadoop ecosystem, Apache Spark, or similar

+Proficiency with monitoring tools such as Grafana, Prometheus, EvidentlyAI

We offer:

✔️12 sick leaves and 18 paid vacation business days per year

✔️Comfortable work conditions (including MacBook Pro and Dell monitor in each workplace)

✔️Smart environment

✔️Interesting projects from renowned clients

✔️Flexible work schedule

✔️Competitive salary according to the qualifications

✔️Guaranteed full workload during the term of the contract

✔️Corporate leisure activities

✔️Game, lounge, sports zones.