Machine Learning Engineer

●

1 week ago

Greece, Attiki, Athens

Full Time

Senior

Hybrid

Basic Information

Pollfish, a Prodege, LLC company, is an online market research survey platform where data driven brands bring market research in-house for faster and smarter decision making. We have a proprietary network of 250M consumers/year which enables companies to connect with and understand real consumers worldwide in a fast, easy and cost-effective way.

We are currently looking for an experienced Machine Learning Engineer to join our team, which is based in Athens.

The Machine Learning Engineer designs, builds, and productionizes end-to-end AI/ML systems that measurably improve business outcomes. This role owns the technical lifecycle of models from data and features through deployment, monitoring, and continuous improvement. You will ship reliable, well-tested services that move KPIs in areas such as ranking, recommendations, yield optimization, fraud detection, and intelligent routing, while also contributing to emerging AI initiatives, including LLMs and agentic systems.

Responsibilities

You will:

Develop, train, and validate AI/ML models to address specific business challenges.
Develop ML models that improve survey-member matching, routing efficiency, and conversion outcomes.
Build ranking signals, features, and pipelines that leverage behavioral, demographic, and historical performance data.
Develop both batch and streaming ML pipelines.
Develop ML/AI micro-services.
Work with Data Scientists to evaluate models using offline metrics and online experiments (e.g., A/B Tests).
Fine-tune existing models and/or create new models from scratch to enhance business processes and outcomes.
Research and evaluate AI techniques and tools to inform decision-making.
Collaborate with data and software engineers and other stakeholders to ensure seamless integration of AI/ML solutions.
Monitor and optimize model performance on a regular basis.
Provide guidance and mentorship to junior team members.

Requirements

Amazon Web Services (AWS)

Data Management

Google Cloud Platform (GCP)

LangChain

Machine Learning

Pyspark

Python

SQL

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience.
Fluency in English.
3+ years of hands-on ML engineering experience delivering models to production.
Strong Python and working SQL; solid software engineering fundamentals, including testing, modular design, and version control.
Experience with classical ML such as tree-based models, linear/logistic models, and model evaluation.
Ability to apply AI and machine learning tools responsibly in support of predictive modeling, analysis, experimentation, and solution development, including validating outputs, documenting assumptions, and adhering to company security and confidentiality standards.
Working knowledge of a deep learning framework such as PyTorch or TensorFlow.
Experience building data and feature pipelines for training and inference.
Experience deploying models via APIs, microservices, or batch/streaming systems.
Demonstrated ability to improve models through iteration, tuning, or redesign.
Clear written and verbal communication; ability to partner effectively across teams.

Benefits

An attractive salary package
Part of an innovative Global Tech Company
Meal Coupons - Monthly
Gym Subscription
Private Health Insurance
Weekly Office Events - Catered Lunch and Breakfast
Company Outings & Quarterly Events
Mental Health Benefits - Wellness Coach App Subscription
Great office location in the city center - Parking slots available
Quarterly Charitable Giving Allowance
Peer recognition Allowance

Good to have

Master’s degree or PhD in AI, Machine Learning, or a quantitative field.
Experience with ranking or recommendation systems at scale.
Experience with distributed computing frameworks such as Spark, Ray, or Flink.
Cloud experience on AWS, Azure, or GCP plus MLOps tooling such as MLflow or model registries.
Familiarity with Docker/Kubernetes.
Exposure to LLM tooling, including Hugging Face, embeddings, RAG, or agent frameworks.
Additional languages such as Java, Scala, or Rust.

Machine Learning Engineer

Basic Information

Responsibilities

Requirements

Benefits

Good to have

About the company

About the company

Machine Learning Engineer

Basic Information

Responsibilities

Requirements

Benefits

Good to have

About the company

About the company