Product Manager, Big Data & AI Engineer (Cisco & Mobile Technologies)
Product Manager, Big Data & AI Engineer (Cisco & Mobile Technologies)
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1 Vacancy
Job Description
Introduction
We are seeking an experienced Big Data & AI Specialist who will drive the design development and deployment of intelligent data solutions. The ideal candidate will combine deep technical expertise in Big Data platforms Artificial Intelligence and Machine Learning with practical knowledge of Cisco networking technologies and Mobile communication systems. You will work across teams to build data-driven architectures ensure secure and scalable infrastructure and enable actionable insights through advanced analytics.
Duties & Responsibilities
Key Responsibilities:
Design and implement robust Big Data architectures and AI-driven solutions for advanced data processing analytics and automation.
Develop and deploy machine learning models predictive analytics and scalable data pipelines.
Collaborate closely with network engineering teams to seamlessly integrate AI solutions within Cisco networking environments.
Optimize mobile technology platforms for real-time data collection and transmission enabling responsive AI-driven applications.
Manage and process large-scale datasets from diverse sources (structured semi-structured and unstructured) ensuring the highest standards of data quality security and governance.
Deploy and maintain scalable big data platforms on cloud or on-premises infrastructure leveraging technologies such as Hadoop Spark Kafka and others.
Build and deploy APIs and microservices to enable seamless delivery of AI models across mobile and network environments.
Perform system performance tuning troubleshooting and proactive monitoring of big data and AI platforms.
Continuously research and adopt emerging technologies and best practices in AI Big Data Cisco networking solutions and mobile networks.
Key Skills & Competencies:
Big Data & AI Technologies:
Proficiency in big data ecosystems: Hadoop Spark Hive Kafka Flink or equivalent technologies.
Expertise in machine learning frameworks such as TensorFlow PyTorch and Scikit-learn.
Strong experience with data science tools: Python R SQL Scala.
Knowledge of ETL processes and workflow orchestration tools: Airflow NiFi.
Cisco Networking:
Cisco Certified Network Professional (CCNP) certification or equivalent practical experience.
Hands-on knowledge of Cisco SD-WAN ACI ISE and advanced security solutions.
Experience with network automation and monitoring using Cisco DNA Center NetFlow and SNMP protocols.
Mobile Technologies:
Solid understanding of 3G 4G LTE and 5G mobile network technologies.
Experience with mobile device management (MDM) edge computing and IoT platforms.
Familiarity with mobile application ecosystems and their integration with AI platforms.
Cloud Platforms (Advantageous):
Experience with cloud providers such as AWS Azure or Google Cloud Platform specifically in Big Data and AI services.
Proficiency with Kubernetes Docker and container orchestration for scalable deployments.
Other Competencies:
Strong problem-solving and analytical skills.
Excellent communication collaboration and stakeholder management abilities.
Proven ability to thrive in cross-functional agile teams.
Desired Experience & Qualification
Qualifications & Experience:
Bachelors or Masters degree in Computer Science Data Science Telecommunications or a related field.
A minimum of 5 years hands-on experience in the development and deployment of Big Data and AI/ML solutions.
At least 3 years of proven experience working with Cisco network infrastructure.
Prior experience in mobile technology environments or the telecommunications industry is highly advantageous.
Relevant professional certifications are preferred including:
AI / Big Data certifications (e.g. TensorFlow Azure AI Engineer Google Professional Data Engineer)
Cisco certifications (CCNA CCNP or higher)
Mobile technology certifications (MDM 5G IoT platforms)
Experience with Huawei Mobile Cloud is a distinct advantage.
Package & Remuneration
Please send your CV to or contact
Required Experience:
IC
Employment Type
Full-Time
