Technical Architect ML / Data Science / MLOps (Telecom Domain)

Job Title: Technical Architect ML / Data Science / MLOps (Telecom Domain)
Location: Irving, TX
Duration: Long-Term Contract

Job Summary:

• We are seeking a highly skilled Technical Architect specializing in Machine Learning (ML), Data Science (DS), and MLOps with strong experience in the Telecom domain. The ideal candidate will design and lead the implementation of scalable AI/ML architectures, ensuring robust, automated, and production-grade data science solutions for telecom operations.
• Key Responsibilities:
• Define and design end-to-end ML/AI architectures for telecom data solutions.
• Provide technical leadership in ML model development, deployment, and monitoring using MLOps practices.
• Collaborate with data scientists, engineers, and business stakeholders to translate telecom business needs into AI/ML-driven solutions.
• Build and manage data pipelines for large-scale telecom datasets using tools like PySpark, Airflow, or Cloud Composer.
• Implement CI/CD for ML workflows using Vertex AI, Kubeflow, MLflow, or similar frameworks.
• Ensure scalability, reliability, and governance of deployed ML systems.
• Evaluate and recommend tools, frameworks, and architectures aligned with enterprise standards.

Required Skills & Experience:

• 12+ years of total experience in Data Science, ML Engineering, or AI architecture.
• 5+ years experience in the Telecom domain (network, operations, or customer analytics).
• Strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, and SQL/Spark.
• Deep understanding of MLOps, CI/CD pipelines, model orchestration, and monitoring.
• Experience with Google Cloud Platform (Vertex AI), AWS (SageMaker), or Azure ML Studio.
• Proven ability to architect large-scale data and ML solutions on cloud platforms.
• Excellent understanding of data governance, security, and performance optimization.

Preferred:

• Hands-on experience with Kubernetes, Docker, and microservices architecture.
• Exposure to Big Data ecosystems (BigQuery, Databricks, Hadoop).
• Strong communication and leadership skills for cross-functional collaboration.