AI/ML Engineer (Mid-Level)

Location: Hybrid / Remote

Company: Making Science | Sweeft

Employment Type: Full-time

Company Description

Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet—the world’s premier network of independent media agencies—we deliver a suite of digital, technology, and performance marketing services to a global clientele.

Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe’s Fastest-Growing Companies 2023.

We are committed to making a positive impact through various ESG initiatives, including partnerships with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Our global network of delivery hubs fosters job growth and serves as an incubator for top-tier tech talent, fueling projects that accelerate transformation and modernization.

Role Description

We are seeking a Mid-Level AI/ML Engineer to help us design, deploy, and maintain scalable machine learning systems. You’ll work with data scientists, engineers, and cloud architects to build robust ML pipelines and production-ready model deployments, with a strong emphasis on MLOps and continuous delivery of AI capabilities.

Key Responsibilities

• Design and implement prediction models (regression, classification, time series)
• Build end-to-end ML pipelines from data ingestion to model serving
• Implement MLOps practices for continuous training and deployment
• Optimize models for production performance and cost efficiency
• Create monitoring systems for model reliability and versioning
• Handle data preprocessing and feature engineering
• Automate ML lifecycle with Vertex AI infrastructure

What We’re Looking For

• Proficient in Python, with hands-on experience in machine learning frameworks such as TensorFlow or PyTorch, and scikit-learn for classical ML.
• Experience using Vertex AI for model training and deployment, BigQuery ML for scalable analytics, and Cloud Functions for serverless operations.
• Familiarity with MLflow or Kubeflow for managing the ML lifecycle, containerization using Docker, and implementing CI/CD pipelines for ML workflows.
• Strong command of data manipulation and analysis using Pandas and NumPy, with solid SQL skills and a good understanding of time series data.
• Experience serving machine learning models using FastAPI or Flask, with an emphasis on building scalable, production-grade APIs.
• English proficiency at B1 level or higher

Why Join Us?

• Work on groundbreaking automation and AI agent projects
• Flexible hybrid work model with international collaboration
• Professional growth through continuous learning and development
• Health insurance and a comprehensive benefits package
• Regular team events and a supportive work culture

How to Apply:

Send an email to hrtbilisi@makingscience.com with the subject line:

Application for AI/ML Engineer Position

Attach your resume in PDF format.

Be part of a team advancing the AI lifecycle—from experimentation to full-scale deployment—at Making Science | Sweeft.