Azure Data & AI Engineer working closely with clients to create sustainable technical solutions. Designing modern data platforms in Azure and contributing to data accessibility and usability.
About the role
- AI Engineer developing AI solutions and leveraging machine learning for a global telecommunications leader. Engaging in large-scale AI initiatives to improve network operations through intelligent automation.
Responsibilities
- Design and implement AI/ML pipelines, including LLM-based applications, GenAI frameworks, and vector retrieval systems.
- Build production-grade AI integrations in Python, ensuring scalability and reliability.
- Apply enterprise AI patterns such as RAG, observability, agent workflows, and model evaluation.
- Architect secure, scalable integrations between cloud platforms and enterprise systems.
- Develop data pipelines, event streams, and observability frameworks to support AI at scale.
- Collaborate with Data Scientists on feature engineering, model evaluation, and experiment design.
- Contribute to AI-driven telecom solutions by learning and applying concepts in IP routing, EVPN/L3VPN, telemetry, and optical networking.
- Translate technical capabilities into measurable business impact through KPIs, ROI analysis, and product-focused thinking.
Requirements
- 5+ years of experience in data, analytics, machine learning, or AI-driven environments
- Strong hands-on expertise with LLMs, GenAI frameworks, ML/analytics pipelines, and vector databases
- Proficiency in Python and experience delivering production-grade AI solutions
- Solid understanding of enterprise AI patterns (RAG, observability, agent workflows, model evaluation)
- Knowledge of data pipelines, event-driven architectures, and system-to-system integration
- Familiarity with data science practices: feature engineering, statistical modeling, experiment design, and hypothesis-driven analysis
- Ability to work with structured and unstructured data, conduct exploratory analysis, and guide AI solution design
- Experience collaborating across engineering, architecture, IT, and operations teams
- Strong communication skills to simplify AI concepts for non-experts
- Curiosity and adaptability to learn emerging AI tools and telecom domain concepts.
Benefits
- Continuous learning and career growth opportunities
- Professional training and English/Spanish language classes
- Comprehensive medical insurance
- Mental health support
- Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more
- Flexible working hours
- Inclusive and supportive culture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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