AI Engineering Lead - Marketing & Personalization
Unifonic
Posted on 9 Sep
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Experience
7 - 9 Years
Education
Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
- Defining the technical roadmap, architecture, and coding standards.
- Building and operating batch, near real time and streaming pipelines using systems such as Spark, Airflow, Kafka or RabbitMQ.
- Training, evaluating, and deploying models for recommendations, segmentation, churn, conversion, and CLV.
- Serving models through API, containerized with Docker, orchestrated on Kubernetes, and fully automated via CI/CD, with excellent performance and following best software engineering/architecture principles, ideally with Java but also possible in Python.
- Maintaining high volume, low latency storage and caching with technologies like MySQL, Cassandra, Redis or Memcached.
- Embedding ML observability, A/B testing, and KPI tracking in every release.
- Upholding GDPR and Saudi PDPL compliance and championing responsible AI.
- Hiring, coaching and inspiring engineers; running design and code reviews; fostering a culture of clean architecture and SOLID principles.
Desired Candidate Profile
- 7+ years delivering production ML, including 3+ years leading engineers or squads.
- Proven success with large scale personalization & recommendation systems.
- Deep knowledge of:
- Recommendation algorithms (collaborative, content based, hybrid, matrix factorization, graph).
- Predictive modelling with XGBoost, LightGBM, CatBoost or similar.
- Clustering and dimensionality reduction (K Means, DBSCAN, PCA, UMAP).
- Sequence or transformer networks for behavioral data.
- Expert Java or Python plus strong software engineering fundamentals. Bonus:
- Big data competence Spark, SQL, Snowflake or Vertica.
- MLOps at scale: Docker, Kubernetes, MLflow or Kubeflow, model registries, automated CI/CD.
- Real time patterns with Kafka Streams or Redis.
- Fluent English; strong written and verbal communication; ability to mentor and unblock teams.
- Hands on with Hugging Face, LangChain, or other LLM frameworks for marketing copy or conversational flows is preferred.
- Experience with feature stores and online offline feature parity is preferred.
- Knowledge of reinforcement learning or bandit algorithms for campaign optimization is preferred.
- Familiarity with telecom protocols and high volume messaging (SMPP, SMSC) is preferred.
- Arabic language knowledge is preferred.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- AI Engineering Lead - Marketing & Personalization
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