Data Lead / ML Architect

As the Data Lead / ML Architect, you will be responsible for defining and executing the data and machine learning strategy for our cutting-edge observability platform. You will lead the design, development, and deployment of scalable data pipelines and advanced ML models while mentoring a cross-functional team of data engineers, data scientists, and ML engineers. Your leadership will ensure that our AI-driven features are built on a robust, secure, and high-performance data foundation, enabling real-time analytics and predictive insights for telecom network management.

Key responsibilities

• Strategic Data & ML Leadership

Define and articulate the data architecture and machine learning strategy in alignment with business goals and regulatory requirements.

Implement automated processes for model monitoring, retraining, and performance optimization.

Communicate technical strategies, roadmaps, and progress updates to both technical and non-technical stakeholders.

8–12+ years of professional experience in data engineering, data science, or ML engineering, with a significant track record in leadership roles.

Expertise in programming languages such as Python (and relevant libraries : pandas, scikit-learn, TensorFlow, PyTorch) and familiarity with data processing frameworks (e.g., Apache Spark, Kafka).

Demonstrated ability to lead, mentor, and inspire cross-functional teams in an agile environment.

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. An advanced degree (MS or Ph.D.) is a plus.

What we're looking for

Benefits & rewards

Why join Byanat?

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