Google AI/ML Data Scientist

Comerit; Poland; On-site; PLN 120,000 - 150,000; Full time

Job summary

A tech company focusing on AI/ML solutions is seeking an experienced Google AI/ML Data Scientist in Poland. This role involves processing traffic datasets and developing ML models for predicting traffic volumes. Ideal candidates should have a strong background in machine learning, including proficiency in Python and experience with Google Cloud Platform. The position offers a chance to enhance decision-making in border efficiency and optimize travel experiences for numerous users.

Qualifications

• 3+ years of experience in machine learning with a focus on data preprocessing.
• Hands-on experience deploying models in GCP environments.
• Strong understanding of predictive analytics and data integration.

Responsibilities

• Prepare and process complex traffic congestion datasets.
• Develop and evaluate machine learning models for traffic volume prediction.
• Collaborate with cross-functional teams on ML integration.

Skills

Proficiency in Python

Expertise in TensorFlow

Experience with GCP

Statistical modeling

Time series analysis

Collaboration and coding practices

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Google Vertex AI

BigQuery

ElasticSearch

Docker

Kubernetes

Job description

Comerit is looking for an experienced and driven Google AI/ML Data Scientist to join our team and play a key role in the Border Wait Time (BWT) project. In this position, you will prepare and process complex traffic congestion datasets, develop machine learning models to predict traffic volumes, and deploy scalable solutions using Google Vertex AI. Your work will help improve real-time decision-making, enhance border efficiency, and optimize travel experiences for millions of users.

Requirements

Key Responsibilities

• Perform data cleaning, preprocessing, and feature engineering to prepare traffic congestion datasets for predictive modeling.
  
• Train, validate, and evaluate machine learning models to forecast traffic volumes based on historical trends and key features.
  
• Deploy machine learning models to Google Vertex AI to enable efficient and scalable prediction services.
  
• Monitor and validate model performance using test data, ensuring high accuracy and reliability.
  
• Refine models and methodologies based on performance metrics and stakeholder feedback.
  
• Collaborate with cross-functional teams, including cloud engineers, data engineers, and integration specialists, to integrate ML solutions into the BWT system.
  
• Stay updated with the latest advancements in AI/ML and incorporate best practices into project workflows.
  

Qualifications

Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
  
• 3+ years of experience in machine learning, including data preprocessing, feature engineering, and model development.
  
• Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
  
• Hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI, BigQuery, and Cloud Storage.
  
• Strong understanding of statistical modeling, time series analysis, and predictive analytics.
  
• Familiarity with version control tools (e.g., Git) and collaborative coding practices.
  

Preferred:

• Experience working with traffic or congestion datasets.
  
• Expertise in real-time data integration and analytics.
  
• Knowledge of containerization tools (e.g., Docker, Kubernetes) for deploying ML models.
  
• Understanding of data privacy and compliance considerations in cloud-based ML projects.