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Senior Software/MLOps engineer

inDrive

Limassol, Cyprus

Posted on Apr 2, 2025

, Limassol

inDrive is looking for a Senior Software/MLOps engineer to join our team!

Responsibilities

Participate in entire lifecycle of Data Science based projects from design to development, resource planning and support
Help to build and support ML infrastructure including CICD, data processing pipelines, machine learning workflows both using self supported and managed cloud environments
Introduce tools for managing features, experiments and payload for ML based services and pipelines
Research approaches to data processing including batch and streaming, data quality management, data/pipelines orchestration etc to improve efficiency of DS processes
Support of other tools critical for data science

Experience in working with any tools and services for managing DS infrastructure (e.g. MLflow, Airflow, Kubeflow, Argo Workflow, DVC or similar)
Understanding of what ML is, namely the entire ML lifecycle and how to prepare, build, deploy and resign ML Models.
Deep knowledge of at least one of the clouds, especially in context of Data Science needs
Nice to have experience with tools for managing data flows (e.g. Spark, Kafka, Presto, Hive, Flink, etc).
We don’t expect knowledge of all of them, but it’s necessary to get an idea about what it is, and what it is used for Knowledge of Python, SQL/noSQL, Async, gRPC, batch/streaming, golang, javascript and ability to learn and use any other instrument within a short period of time is highly recommended
Nice to have experience with any of IaC/DevOps tools: Terraform/Ansible/ArgoCD/etc
We also expect that you can explain the background and consequences of your technical decisions to any engineer, prove its correctness and propose alternatives

Stable salary, official employment
Health insurance
Hybrid work mode and flexible schedule
Relocation package offered for candidates from other regions
Access to professional counseling services including psychological, financial, and legal support
Discount club membership
Diverse internal training programs
Partially or fully paid additional training courses
All necessary work equipment