Senior AI/ML Scientist - Data Science & MLOps Lead

Arhs Group; Warszawa; On-site; PLN 240,000 - 420,000; Full time

Job summary

Arhs Group, Part of Accenture, is seeking an experienced Data Scientist to contribute to the design, development and deployment of advanced Data Science, Machine Learning and AI solutions for a major EU institution.

You will design analytics, elicit requirements, support model development, and manage data science artefacts and pipelines across hybrid cloud environments, including Docker/Kubernetes, with emphasis on governance and responsible AI.

Qualifications

• End-to-end data science and ML solutions design and implementation.
• Experience with Azure-based DS/AI services including ML lifecycle.
• Experience with MLOps and DevOps practices for DS.
• Python-based DS/ML development using pandas, scikit-learn, PyTorch, TensorFlow, MLflow.
• Knowledge of diverse DS/AI use-case families (forecasting, NLP, CV, etc.).

Responsibilities

• Designs and develops data analytics, data visualization and AI solutions.
• Elicits business needs, requirements and user stories in data science context.
• Supports business experts and product owners during modeling.
• Maintains model documentation, artefacts and pipelines.
• Tests models for performance, accuracy and KPI alignment.
• Plan prototypes and manage DS team activities.

Skills

Advanced Analytics

AI

Machine Learning

Data analytics

SQL

Python

R

MLOps

Deep Learning

Cloud platforms

Data visualization

Tools

Azure Machine Learning

Azure Data services

PyTorch

TensorFlow

MLflow

Spark

PySpark

Docker

Kubernetes

OpenShift

Job description

Arhs Group, Part of Accenture, is seeking an experienced Data Scientist to contribute to the design, development and deployment of advanced Data Science, Machine Learning and AI solutions for a major EU institution.

You will design analytics, elicit requirements, support model development, and manage data science artefacts and pipelines across hybrid cloud environments, including Docker/Kubernetes, with emphasis on governance and responsible AI.