[Remote] MLOps Engineer – Machine Learning Operations & AI Infrastructure (34639)

Note: The job is a remote job and is open to candidates in USA. Myticas Consulting is seeking a skilled MLOps Engineer to support the full lifecycle of machine learning and AI solutions in a large-scale, enterprise telecommunications environment. The role involves designing, building, deploying, and automating reliable ML workflows across various platforms to enable efficient delivery of production-ready models. Responsibilities • Design and maintain end-to-end MLOps pipelines supporting model training, validation, deployment, monitoring, and automated retraining • Collaborate with data scientists, AI developers, and software engineering teams to transition models from research to production • Implement CI/CD pipelines for machine learning workflows, including automated testing and artifact management • Manage model versioning, experiment tracking, and governance to ensure reproducibility and auditability • Deploy and manage scalable model serving infrastructure using containerization and orchestration tools • Monitor model performance, detect drift, and implement alerting and retraining strategies • Optimize compute and storage infrastructure for performance, scalability, and cost efficiency • Document workflows, standards, and best practices related to ML lifecycle management Skills • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field • 3+ years of experience in MLOps, DevOps, or ML Engineering roles • Strong programming skills in Python; familiarity with Java or similar languages is an asset • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn • Deep understanding of CI/CD, automation tools, and infrastructure-as-code concepts • Experience with Docker, Kubernetes, and container orchestration • Familiarity with cloud platforms such as AWS, Azure, or GCP • Experience building and maintaining production ML services and pipelines • Strong communication and collaboration skills • Experience with MLOps and experiment-tracking tools such as MLflow, Kubeflow, Airflow, or DVC • Knowledge of feature stores, metadata management, and model governance frameworks • Familiarity with hybrid cloud and on-prem deployment environments • Understanding of security, compliance, and performance considerations for AI systems in enterprise settings • Experience supporting AI/ML workloads in telecommunications, networking, or other large-scale distributed systems Company Overview • Myticas Consulting provides all-around staffing, recruiting, strategic headhunting and workforce solutions for various industries. It was founded in undefined, and is headquartered in Ottawa, Ontario, CAN, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship • Myticas Consulting has a track record of offering H1B sponsorships, with 3 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job

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