Machine Learning Engineer

Our Company:

QiH is a fast-growing innovative and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering capability spearheading our tech transformation building best in class products and tackling exciting and complex challenges along the way!

Data is at the core of what we do at QiH but our people are at the heart of our success! At QiH we have created an energetic and target-driven culture and continuously invest in each individual.

The Role

We are seeking an experienced Machine Learning Engineer to join our dynamic team.

Youll be at the forefront of designing developing and deploying ML models that power personalised advertising customer journey analytics audience segmentation and real-time bidding strategies.

Working closely with BI data engineers and product teams youll build scalable solutions that drive measurable business outcomes for some of the worlds most recognised brands.

Our infrastructure is powered by Google Cloud Platform (GCP) and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges.

Key Responsibilities:

• Design build and deploy scalable machine learning models for ad targeting user segmentation conversion prediction and content personalization.

• Develop production-grade ML pipelines leveraging GCP services like Vertex AI BigQuery Dataflow and Pub/Sub.

• Collaborate cross-functionally with Data Science Data Engineering and Product teams to translate business objectives into ML solutions.

• Research and implement state-of-the-art techniques in deep learning reinforcement learning and large-scale optimization relevant to Ad Tech and Mar Tech.

• Monitor troubleshoot and continuously improve model performance in production environments.

• Mentor junior engineers and promote best practices in model development code quality and cloud infrastructure usage.

• Contribute to the evolution of our ML Ops processes including continuous training automated evaluation and scalable deployment frameworks.

• Maintain high standards for documentation security and model explainability in compliance with industry regulations (GDPR CCPA etc.).

• Participate in architecture design sessions and provide input into strategic decisions regarding AI/ML tooling and GCP adoption.

About You:

• Experience: 2 years of experience in machine learning engineering preferably in Ad Tech Mar Tech or related high-scale environments.

• Strong proficiency in Python and ML frameworks (TensorFlow PyTorch Scikit-learn).

• Deep understanding of supervised unsupervised and reinforcement learning methods.

• Experience with GCP services such as Vertex AI BigQuery ML Dataflow AI Platform Pipelines and Dataproc.

• Solid knowledge of distributed systems data streaming (e.g. Apache Beam Kafka) and large-scale data processing.

• ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML model versioning and monitoring.

• Business Acumen: Ability to understand marketing and advertising concepts like customer lifetime value (CLV) attribution modeling real-time bidding (RTB) and audience targeting.

• Strong understanding of data pipeline orchestration tools (e.g. Apache Airflow Kubernetes).

• You thrive when working as part of a team

• Comfortable in a fast-paced environment

• Have excellent written and verbal English skills

• Last but not least youll have no ego!

What Youll Get:

• Competitive Basic Salary

• Quarterly Bonuses

• Hybrid working

• Private Health Care (Bupa)

• Market Leading Training Programme

• Recognition & Reward Scheme

• Annual Company Conference (previous destinations Bologna Dubrovnik Belgrade and Thessaloniki)

• Regular Happy Hour / Team Lunches

• Free Coffee Drinks & Snacks

Whats the next step

Our hiring process ensures were recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.

If you like the sound of what were all about at QiH and want to join a team where you can make an impact please apply or contact us at.

Key Skills
Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting
Employment Type :Full-Time
Experience:years
Vacancy:1