MLOps Engineer PySpark, Python, Docker 100% remote / Warsaw

Diverse CG Sp. z o.o. Sp.k.; Warszawa; Remote; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private medical care

Sports card co-financing

Dedicated consultant support

Job summary

DCG is seeking a skilled ML Platform Engineer to design and maintain scalable model development pipelines. You will build CI templates, work with ML Engineering and actuaries to ensure reliable training pipelines, and implement monitoring for performance and security across the AI platform.

The role emphasizes end-to-end platform ops, cloud management, and collaboration with cross-functional teams to enable continuous innovation. Fluency in English required; Polish not specified.

Qualifications

• Bachelor's or Master's degree in Mathematics, Computer Science, Machine Learning, or related field.
• Proficiency in Python data science tools: pandas, pyspark, sklearn, and shap.
• Experience with LangChain or smolagents for GenAI workflows.
• Familiar with PowerBI or Tableau for dashboards.
• Strong DevOps with CI/CD and GitHub Actions.
• Experience deploying models via APIs (Flask, FastAPI).
• Cloud platforms (AWS, Azure, GCP) and Docker/Kubernetes.
• Attention to detail and English at least B2.

Responsibilities

• Create CI templates for model development ensuring version control, testing and reproducibility.
• Collaborate with ML Engineering and actuaries to audit and optimize model pipelines.
• Develop monitoring strategies for performance and reliability of the system.
• Oversee AI platform operations for high availability and secure data handling.
• Manage cloud resources for cost, performance and security compliance.

Skills

Python programming

Pandas

PySpark

scikit-learn

SHAP

MLflow

Kedro

Airflow

Hyperopt

Optuna

Great Expectations

LangChain

smolagents

PowerBI

Tableau

CI/CD

GitHub Actions

Flask

FastAPI

AWS

Azure

GCP

Docker

Kubernetes

English proficiency

Education

Bachelor's or Master's in Mathematics

Bachelor's or Master's in Computer Science

Machine Learning related field

Tools

Linguistic agent tools (LangChain)

smolagents

PowerBI

Tableau

Flask

FastAPI

Docker

Kubernetes

Job description

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

Responsibilities:

• Create continuous integration templates tailored for model development ensuring version control, testing, and reproducibility of our actuarial pricing models and datasets
• Close work with members of the ML Engineering team and actuaries to audit and optimize the reliability and scalability of the actuaries' model training pipelines
• Develop effective monitoring strategies to track the performance, reliability, and efficiency of the system
• Manage the end-to-end operation of the AI platform to guarantee high availability, responsive performance, and secure data handling during document ingestion and processing
• Oversee the integration and management of cloud resources to optimize cost, performance, and compliance with security standards, thereby enabling continuous innovation on the platform

Requirements:

• Bachelor's or Master's degree in Mathematics, Computer Science, Machine Learning, or related field
• Mastery over Data Science frameworks (pandas, pyspark, sklearn and shap) and MLOPS frameworks (MLFlow, Kedro/Airflow, Hyperopt/Optuna and Great Expectations) in Python
• Experience with building GenAI agentic workflows using Langchain or smolagents
• Basic familiarity with Dashboarding tools (PowerBI/Tableau)
• Strong understanding of DevOps methodologies (CI/CD) and experience implementing Github Actions (or similar) workflows
• Experience with serving models with APIs using Flask or FastAPI
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)
• Extremely high attention to detail and rigor
• English - at least B2 level

Nice to have:

• French - A2/B1

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant

Personal Consulting Agency (License No. 4642)