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Data Lead / ML Architect
ByanatWorkFromHome, Muscat, Omanمنذ أكثر من 30 يومًا
الوصف الوظيفيDevelop a roadmap for integrating advanced ML models, including generative AI and LLMs, into the observability platform. Establish best practices for data governance, quality, security, and compliance across the organization. Design and oversee the implementation of scalable, high-performance data pipelines that support real-time data ingestion, processing, and analytics. Architect end-to-end ML pipelines, from feature engineering and model training to deployment and monitoring in production environments. Evaluate and integrate cutting-edge data and ML technologies that drive innovation and operational efficiency. Lead, mentor, and manage a team of data engineers, data scientists, and ML engineers, fostering a culture of continuous learning and technical excellence. Collaborate closely with cross-functional teams (including product management, software engineering, and telecom integration) to align data initiatives with overall product strategy. Facilitate technical discussions, code reviews, and knowledge sharing sessions to drive best practices and cross-team collaboration. Operational Excellence & Continuous Improvement Drive initiatives for continuous improvement in data processing, model accuracy, and system scalability. Stay current with industry trends, emerging technologies, and regulatory changes affecting data and ML practices. Stakeholder Communication & Documentation Maintain comprehensive documentation of data architectures, ML model designs, and integration processes to ensure transparency and reproducibility. Experience : Proven experience in architecting and deploying scalable data pipelines and ML models in production, preferably in telecom, enterprise software, or high-volume data environments. Technical Skills : Strong background in designing and implementing data architectures and ML pipelines, with hands-on experience in cloud platforms (AWS, Azure, or GCP). Deep understanding of big data technologies, SQL / NoSQL databases, containerization (Docker, Kubernetes), and CI / CD pipelines. Experience with deploying, monitoring, and managing AI / ML models in real-time applications. Leadership & Soft Skills : Excellent analytical, problem-solving, and decision-making skills. Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences. Proven experience in stakeholder management and strategic planning. Education : Experience working on AI-driven products or observability platforms. Familiarity with telecom network data, OSS, and real-time data analytics. Relevant certifications in data engineering, cloud architecture, or machine learning. Competitive Compensation & Equity – We recognize your value with a highly competitive salary and a meaningful equity package. Comprehensive Health Coverage – Enjoy top-tier medical insurance to keep you and your loved ones covered. Flexibility & Work-Life Balance – Choose where and how you work with hybrid and remote-friendly options. Career Growth & Learning – Access to advanced training, mentorship programs, and global industry conferences to accelerate your professional development. Impact-Driven Culture – Join an innovative, fast-paced team where your expertise directly influences the future of AI-driven telecom network management. Shape the future of digital ecosystems : Be part of a team that's redefining digital ecosystems management to make it intelligent, adaptive, and capable of supporting future demands. Innovate for impact : Work on cutting-edge technologies like AI, IoT, and data analytics to address real-world challenges in infrastructure. Empower smart cities : Contribute to building the foundation for cognitive cities - urban environments that are resilient, efficient, and adaptable. Grow with us : Join a dynamic, mission-driven team that values collaboration, innovation, and growth. We are committed to creating a workplace where you can thrive, learn, and make a meaningful impact.
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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