ML​/Ops & DevOps Engineer – Telecom Industry

Job Title :

-
ML/Ops & Dev Ops Engineer – Telecom Industry

Employment Type

:

- W2

Duration :

- Long Term

Visa Type :

- All Visa applicable which are ready for W2

Location
- Bellevue, WA (Day-1 Onsite)

Industry :

- Telecom

We are seeking a highly skilled ML/Ops or Dev Ops Engineer to join our dynamic team in the telecom industry. The ideal candidate will be responsible for designing, building, and maintaining scalable, high-performance machine learning (ML) and operational infrastructure, focusing on automation, efficiency, and optimization. You will play a key role in enabling smooth deployment pipelines for AI/ML models and ensuring seamless integration within our telecom systems.

Your contributions will be critical in advancing our infrastructure’s reliability and our machine learning workflows.

• ML/Ops Responsibilities:
  • Design and implement scalable machine learning pipelines and frameworks for production-level deployment in the telecom environment.
  • Collaborate with data scientists and AI/ML teams to automate the training, testing, and deployment of machine learning models.
  • Monitor, troubleshoot, and optimize model performance in real-time production systems.
  • Develop robust data pipelines for continuous data ingestion, transformation, and analysis.
  • Ensure compliance with industry standards and security requirements related to telecom data and AI/ML models.
• Dev Ops Responsibilities:
  • Build, deploy, and maintain cloud-based infrastructure using tools such as Kubernetes, Docker, and Terraform.
  • Automate and optimize CI/CD pipelines for efficient release and deployment of applications and models.
  • Implement and manage system monitoring, logging, and alerting systems to ensure system health and performance.
  • Collaborate with software developers, network engineers, and security teams to enhance infrastructure and deployment practices.
  • Ensure high availability and disaster recovery capabilities across systems.
• Collaboration & Communication:
  • Work closely with cross‑functional teams, including product managers, network engineers, and AI specialists, to integrate Dev Ops and ML processes seamlessly.
  • Provide support and troubleshooting for network and system issues, identifying potential areas of improvement in operational processes.

• Bachelor’s or Master’s degree in Computer Science
  , Telecommunications
  , Electrical Engineering
  , or a related field.
• 10+ years of experience in Dev Ops, ML/Ops, or a combination of both, preferably within the telecom industry.
• Strong hands‑on experience with CI/CD tools (e.g., Jenkins, Git Lab, Circle
  
  CI) and Infrastructure as Code (IaC) tools like Terraform or Cloud Formation
  .
• Proficiency with Kubernetes
  , Docker
  , and container orchestration for large‑scale deployments.
• Experience with cloud platforms such as AWS
  , Azure
  , or GCP in managing telecom‑related workloads. Azure is Preferred.
• Solid understanding of telecom protocols (e.g., VoIP, LTE, 5G) and network services (e.g., DNS, DHCP, VPN).
• Experience with machine learning model deployment (e.g., Tensor Flow, PyTorch, or scikit‑learn) and ML frameworks
  .
• Familiarity with telecom‑related applications such as network optimization
  , billing systems
  , or customer analytics is a plus.
• Knowledge of security best practices in Dev Ops and cloud environments, particularly within the telecom industry.
• Space Optimization, Capacity Optimization.
• Snowflake is must.

• Knowledge of Python
  , Shell scripting
  , and automation tools such as Ansible or Chef
  .
• Experience working with microservices architecture and API gateways
  .
• Strong analytical and problem‑solving skills, with a focus on scalability and performance tuning.
• Excellent communication skills, with the ability to translate technical requirements into business solutions.