BYANAT

Job Title: Data Lead 


Job Title: Data Lead / ML Architect

Location: Muscat, Oman

Team: Data & AI Team

Employment Type: Full-Time

About Us

We are building a revolutionary unified AI observability platform that integrates real-time data from mobile networks and datacenters. Our solution leverages advanced Gen AI and LLM capabilities to deliver actionable insights via dynamic dashboards and minimal-click workflows. Join our innovative team and help shape the future of telecom network management by ensuring seamless integration and connectivity across complex systems.

Job Summary

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.
• Develop 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.

Architecture & Pipeline Design

• 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.

Team Leadership & Collaboration

• 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

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

• Communicate technical strategies, roadmaps, and progress updates to both technical and non-technical stakeholders.
• Maintain comprehensive documentation of data architectures, ML model designs, and integration processes to ensure transparency and reproducibility.

Required Qualifications

Experience

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

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

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

• 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.

Preferred Qualifications

• 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.

Benefits

• Competitive salary and equity package.
• Comprehensive health insurance.
• Flexible work arrangements (remote/hybrid options).
• Opportunities for professional growth, advanced training, and attendance at industry conferences.
• A collaborative and innovative work environment where your leadership directly influences the future of telecom network management.

How to Apply

Please submit your resume, a cover letter detailing your relevant experience and vision for data and ML architecture, and any examples of projects or case studies that demonstrate your technical leadership and innovation.

About Us

We are building a revolutionary unified AI observability platform that integrates real-time data from mobile networks and datacenters. Our solution leverages advanced Gen AI and LLM capabilities to deliver actionable insights via dynamic dashboards and minimal-click workflows. Join our innovative team and help shape the future of telecom network management by ensuring seamless integration and connectivity across complex systems.

Job Summary

As the Tech Lead / Software Architect, you will be responsible for defining and driving the overall technical vision, architecture, and development strategy for our cutting-edge observability platform. You will collaborate closely with cross-functional teams—including Product Management, UX/UI, Data Engineering, AI/ML, and Operations—to design scalable, secure, and high-performance systems that integrate complex telecom data streams and AI-driven features. Your leadership will ensure technical excellence, promote best practices, and guide the engineering team in delivering a robust, next-generation product.

Key Responsibilities

• Technical Vision & Architecture
  • Define and articulate the platform’s technical vision and roadmap in alignment with business goals and stakeholder requirements.
  • Design a scalable, modular, and secure system architecture that supports real-time data ingestion, processing, and AI/ML integration.
  • Evaluate and select appropriate technologies, frameworks, and tools to ensure high performance and maintainability.
• Leadership & Collaboration
  • Lead, mentor, and inspire a cross-functional engineering team, ensuring adherence to best practices, coding standards, and agile methodologies.
  • Collaborate closely with Product Managers, Data Engineers, AI/ML teams, and UX/UI Designers to translate requirements into innovative technical solutions.
  • Foster a culture of continuous improvement and technical excellence through regular code reviews, technical discussions, and knowledge sharing.
• System Integration & Scalability
  • Oversee the integration of multiple data sources, including telecom network elements, OSS, and network management systems, into a unified platform.
  • Ensure seamless integration of AI-driven features (e.g., natural language processing, automated reporting, anomaly detection) with the core system.
  • Architect solutions that are scalable, fault-tolerant, and optimized for performance in a data-intensive, real-time environment.
• Security & Compliance
  • Collaborate with Security Engineers to integrate security best practices into the design and development lifecycle.
  • Ensure that the platform complies with industry standards and regulatory requirements regarding data privacy and security.
• Project Oversight & Continuous Improvement
  • Participate in strategic planning, sprint planning, and technical reviews to drive successful project execution.
  • Identify risks, resolve complex technical challenges, and proactively recommend solutions to improve system performance and reliability.
  • Maintain comprehensive documentation of architectural designs, technical decisions, and system configurations.

Required Qualifications

• Experience:
  • 8–12+ years of professional experience in software development, with significant experience in system architecture and technical leadership roles.
  • Proven track record in designing and delivering scalable, high-performance, data-intensive applications or platforms, preferably in telecom, enterprise software, or AI-driven environments.
• Technical Skills:
  • Deep expertise in designing microservices architectures, distributed systems, and real-time data processing pipelines.
  • Proficiency in multiple programming languages (e.g., Java, Python, Node.js) and familiarity with modern frameworks and tools.
  • Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Strong understanding of API design, integration strategies, security best practices, and performance optimization.
  • Prior exposure to AI/ML integrations and working with generative AI or LLM technologies is a plus.
• Leadership & Soft Skills:
  • Demonstrated ability to lead, mentor, and manage technical teams in an agile, fast-paced environment.
  • Excellent problem-solving, analytical, and decision-making skills.
  • Strong communication and interpersonal skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Proven experience in stakeholder management and cross-functional collaboration.
• Education:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. An advanced degree (MS or Ph.D.) is a plus.

Preferred Qualifications

• Experience working on AI-driven products or observability platforms.
• Familiarity with telecom network systems and real-time data analytics.
• Relevant certifications in cloud architecture, security, or agile methodologies.

Benefits

✅ 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.

About Us

We are building a revolutionary unified AI observability platform that integrates real-time data from mobile networks and datacenters. Our solution leverages advanced Gen AI and LLM capabilities to deliver actionable insights via dynamic dashboards and minimal-click workflows. Join our innovative team and help shape the future of telecom network management by ensuring seamless integration and connectivity across complex systems.

Job Summary

We are seeking a highly creative and experienced Senior UI/UX Designer to lead the design of our next-generation observability platform. You will be responsible for crafting a clean, modern, and futuristic user interface that minimizes clicks and focuses users on what truly matters. This role requires a strong portfolio in data visualization and dashboard design, with the ability to seamlessly integrate AI-driven features and interactive elements.

Key Responsibilities

• Design Strategy & Vision
  • Develop and communicate a clear design vision for the platform that aligns with our product strategy and user needs.
  • Create futuristic, map-centric layouts, minimal-click workflows, and intuitive data visualization dashboards.
• User Interface & Experience Design
  • Design interactive, responsive user interfaces that highlight real-time data, AI-generated insights, and actionable alerts.
  • Develop high-fidelity mockups, prototypes, and design systems using tools like Figma, Sketch, or Adobe XD.
  • Ensure that the design is accessible, user-friendly, and adheres to modern UI/UX best practices.
• Collaboration & Iteration
  • Work closely with Product Managers, Engineers, and Data/AI teams to translate complex requirements into compelling design solutions.
  • Conduct user research and usability testing to refine designs and ensure a seamless user experience.
  • Iterate designs based on feedback from cross-functional stakeholders, including telecom experts and regulatory authorities.
• Data Visualization & Interaction Design
  • Create innovative data visualizations (maps, KPI capsules, interactive overlays, and animated transitions) that provide clear insights with minimal user interaction.
  • Design AI and LLM interaction elements such as chat widgets, floating action buttons, and contextual tooltips that complement the overall interface.
  • Develop dynamic UI components that highlight critical alerts, real-time performance, and historical trend data.
• Design Systems & Branding
  • Build and maintain a cohesive design system and style guide that reflects our futuristic aesthetic.
  • Ensure consistency across all screens, components, and interaction patterns.

Required Qualifications

• Experience:
  • 5–10+ years of experience in UI/UX design, with a strong portfolio demonstrating expertise in dashboard design, data visualization, and enterprise software.
  • Proven experience designing complex, data-intensive platforms and interfaces, preferably in telecom, finance, or related industries.
• Technical Skills:
  • Proficiency in design and prototyping tools such as Figma, Sketch, Adobe XD, or similar.
  • Strong understanding of responsive design principles, accessibility standards, and modern UI trends.
  • Experience with interactive prototyping and design handoff tools (e.g., Zeplin, InVision).
• Soft Skills:
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Strong problem-solving abilities and attention to detail.
  • Ability to articulate design decisions and advocate for the user experience.
• Education:
  • Bachelor’s degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is preferred.

Preferred Qualifications

• Experience working with AI/ML-driven products or platforms.
• Familiarity with telecom network systems, real-time analytics, or observability platforms.
• Previous experience working in agile environments with rapid iteration cycles.

Benefits

✅ 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.

About Us

We are building a revolutionary unified AI observability platform that integrates real-time data from mobile networks and datacenters. Our solution leverages advanced Gen AI and LLM capabilities to deliver actionable insights via dynamic dashboards and minimal-click workflows. Join our innovative team and help shape the future of telecom network management by ensuring seamless integration and connectivity across complex systems.

Job Summary

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.
  • Develop 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.
• Architecture & Pipeline Design
  • 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.
• Team Leadership & Collaboration
  • 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
  • Implement automated processes for model monitoring, retraining, and performance optimization.
  • 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
  • Communicate technical strategies, roadmaps, and progress updates to both technical and non-technical stakeholders.
  • Maintain comprehensive documentation of data architectures, ML model designs, and integration processes to ensure transparency and reproducibility.

Required Qualifications

• Experience:
  • 8–12+ years of professional experience in data engineering, data science, or ML engineering, with a significant track record in leadership roles.
  • 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:
  • 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).
  • 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:
  • Demonstrated ability to lead, mentor, and inspire cross-functional teams in an agile environment.
  • 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:
  • 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.

Preferred Qualifications

• 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.

Benefits

✅ 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.