You will be joining the team that designs, builds, and scales machine learning systems powering personalisation and customer engagement at a large scale. This is an opportunity to work on production-ready ML pipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions of users.

Your responsibilities will include:

• Developing pipelines that transform behavioral, demographic, and contextual data into real-time features.
• Designing APIs and services for low-latency prediction and decision-making.
• Implementing frameworks for A/B testing, exploration/exploitation strategies, and model evaluation.
• Working closely with product and engineering teams to balance engagement, business value, and compliance.
• Establishing monitoring, logging, and retraining workflows to continuously validate and improve models.

What we expect from you:



• 5+ years of applied ML engineering experience (recommendation systems, personalization, ranking, or ads).
• Strong background in Python and/or Go, SQL, and ML frameworks such as TensorFlow or PyTorch.
• Experience deploying real-time ML systems (low-latency serving, feature stores, event-driven architectures).
• Familiarity with cloud ML platforms (Vertex AI, SageMaker, or similar).
• Experience with data warehouses (BigQuery, Snowflake, Redshift).
• Understanding of multi-objective optimisation and trade-offs in personalisation.
• Ability to thrive in a fast-paced, startup-style environment

Will be a plus:



• Experience in martech, adtech, CRM, or large-scale consumer personalisation.
• Exposure to bandit algorithms or reinforcement learning.
• Prior work on systems serving millions of users at scale.
• Experience with Google Cloud Platform (GCP).

Soft Skills:



• Fluent English and strong communication skills.
• Proactive and positive attitude.
• Ability to work 9am- 4pm EST.

We offer:



• Opportunities to shape large-scale personalisation technology.
• Salary range: 6000 USD
• Competitive compensation package that matches your skills and experience.
• Professional growth, conferences, and skill development budget.
• Flexible remote work with support for your productivity.
• Collaborative and innovative environment where impact is valued over years of experience.
• Online&Offline activities

Our Recruitment Process

• CV Screening: Applications are reviewed within 24 hours.
• Pre-Screening Interview: A

  short, structured AI-assisted Q&A session

  to assess experience and role suitability.
• Shortlisting: Qualified candidates are presented to the hiring manager for review.
• Formal Interviews: Online discussions with the hiring manager or project team, with feedback provided within 1-2 weeks.
• Offer and Onboarding: Successful candidates receive a formal offer and begin a structured onboarding process.

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