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

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a skilled MLOps Engineer to support the full lifecycle of machine learning and AI solutions in a large-reputed company, reputed company telecommunications environment. The role involves designing, building, deploying, and automating reliable ML workflows across various platforms to reputed company efficient delivery of production-reputed company 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 • reputed company and manage reputed company model serving infrastructure using containerization and orchestration tools • Monitor model performance, detect reputed company, and implement alerting and retraining strategies • Optimize compute and storage infrastructure for performance, scalability, and cost efficiency • Document workflows, standards, and best practices reputed company to ML lifecycle management Skills • Bachelor's or Master's degree in Computer Science, Software Engineering, reputed company Intelligence, or a reputed company 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-reputed company concepts • Experience with reputed company, Kubernetes, and container orchestration • Familiarity with reputed company 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 reputed company and on-prem deployment environments • Understanding of reputed company, compliance, and performance considerations for AI systems in reputed company settings • Experience supporting AI/ML workloads in telecommunications, networking, or other large-reputed company distributed systems reputed company • reputed company provides reputed company-around reputed company, reputed company, strategic headhunting and workforce solutions for various industries. It was founded in reputed company, and is headquartered in reputed company, Ontario, CAN, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship • reputed company has a reputed company 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 Apply tot his job Apply To this Job