ML/Ops & DevOps Engineer – Telecom Industry

Highbrow LLC; Bellevue (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

A telecom industry leader is seeking a highly skilled ML/Ops & DevOps Engineer to join their dynamic team. The role involves designing and maintaining scalable machine learning infrastructure and optimizing operational processes. Candidates should possess 10+ years of experience, proficiency in cloud platforms, CI/CD tools, and strong knowledge of telecom protocols. This long-term position is based in Bellevue, WA and offers a competitive salary with opportunities for professional growth.

Qualifications

• 10+ years of experience in DevOps, ML/Ops, or a combination of both, preferably within the telecom industry.
• Strong hands-on experience with CI/CD tools, Infrastructure as Code tools like Terraform or CloudFormation.
• Experience with machine learning model deployment using TensorFlow, PyTorch, or scikit-learn.

Responsibilities

• Design and implement scalable machine learning pipelines and frameworks for production.
• Build, deploy, and maintain cloud-based infrastructure using Kubernetes, Docker, and Terraform.
• Collaborate with cross-functional teams to integrate DevOps and ML processes.

Skills

CI/CD tools

Kubernetes

Docker

Python

Shell scripting

Snowflake

Education

Bachelor's or Master's degree in Computer Science, Telecommunications, Electrical Engineering

Tools

Terraform

AWS

Azure

GCP

Job description

Job Title :- ML/Ops & DevOps 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

Job Description:

We are seeking a highly skilled ML/Ops or DevOps 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.

Key Responsibilities:

• 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.
• DevOps 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 DevOps and ML processes seamlessly.
  • Provide support and troubleshooting for network and system issues, identifying potential areas of improvement in operational processes.

Key Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Telecommunications, Electrical Engineering, or a related field.
• 10+ years of experience in DevOps, ML/Ops, or a combination of both, preferably within the telecom industry.
• Strong hands‑on experience with CI/CD tools (e.g., Jenkins, GitLab, CircleCI) and Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• 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., TensorFlow, 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 DevOps and cloud environments, particularly within the telecom industry.
• Space Optimization, Capacity Optimization.
• Snowflake is must.

Preferred Skills:

• 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.