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

DCG Poland

Warszawa

Remote

PLN 180,000 - 260,000

Full time

12 days ago

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Benefits offered by this job

Private medical care

Co-financing for sports card

Dedicated consultant support

Job summary

DCG Poland is seeking an experienced ML Platform Engineer in Warsaw to design CI/CD templates for model development and collaborate with ML engineers and actuaries to optimize training pipelines. The role focuses on monitoring, reliability, and scalable AI platform operations.

You will work with Langchain/smolagents to build agentic workflows, deploy on cloud platforms, containerize services with Docker/Kubernetes, and expose models via Flask or FastAPI. Strong English communication required.

Qualifications

Bachelor's or Master's degree in Mathematics, Computer Science, ML, or related field.
Strong Python and data science framework experience required.
Experience building GenAI agentic workflows using Langchain or smolagents.
DevOps CI/CD expertise and GitHub Actions implementation.
Cloud, containerization, and API serving knowledge essential.

Responsibilities

Create CI templates for model development with version control and reproducibility.
Audit and optimize ML model training pipelines with ML/Actuaries teams.
Develop monitoring strategies for system performance and reliability.
Operate AI platform end-to-end ensuring availability and secure data handling.
Manage cloud resources to optimize cost, performance, and security compliance.

Skills

Python

Data Science

MLOps

CI/CD

GitHub Actions

API development

Flask/FastAPI

Cloud platforms

Docker/Kubernetes

Langchain/Smolagents

Dashboarding

English proficiency

Education

Bachelor's or Master's degree in Mathematics/CS/ML

Tools

Pandas

PySpark

scikit-learn

SHAP

MLFlow

Kedro/Airflow

Hyperopt/Optuna

Great Expectations

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: