Note: The job is a remote job and is open to candidates in USA. Uneek Global is a fast-growing, AI-driven company building real-time ad infrastructure and personalized commerce platforms. They are seeking a Senior Machine Learning & Data Platform Engineer to build the production-grade ML infrastructure that powers intelligent decision-making across their platform.
Responsibilities
- Building and scaling the machine learning platform that powers optimisation, personalisation, and decision-making across the business
- Developing production ML models focused on CTR prediction, conversion prediction, recommendation systems, dynamic bidding, and performance optimisation
- Creating scalable feature engineering pipelines and automated MLOps workflows for training, deployment, monitoring, and retraining
- Analysing large-scale commerce and advertising datasets to improve model performance and business outcomes
- Designing and running A/B tests and experiments to validate model effectiveness
- Building low-latency APIs and real-time prediction services at scale
- Partnering with Product, Engineering, and Data teams to embed machine learning into core platform capabilities
Skills
- 5+ years building production machine learning systems, data platforms, or large-scale analytics infrastructure
- Strong Python and SQL skills
- Experience deploying ML models into production environments
- Hands-on experience with TensorFlow, PyTorch, scikit-learn, XGBoost, or similar frameworks
- Experience with feature engineering, large-scale datasets, and distributed technologies such as Spark, Databricks, or Kafka
- Strong understanding of MLOps, experimentation, predictive modelling, and recommendation systems
- Familiarity with cloud-native infrastructure, Kubernetes, containers, and scalable APIs
- Experience within AdTech, Retail Media, E-commerce, or recommendation engines
- Experience working with metrics such as CTR, CPC, CPA, and ROAS
- Exposure to feature stores, MLflow, vector databases, or real-time inference systems
- Experience with personalisation, ranking models, reinforcement learning, or dynamic pricing
Benefits
- Bonus
- Equity/stock options
- Remote - Work from anywhere (US Based Preferred)
Company Overview