[Remote] Engineering Leader – AI & Machine Learning Operations (AIOps)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company enables enterprises to deliver reputed company, compliant, and secure software, empowering developers to do their best work. The Engineering Leader will drive the AIOps reputed company, reputed company the development of the reputed company AI platform, and manage reputed company reputed company on building reliable AI & ML infrastructure. Responsibilities • reputed company and reputed company reputed company responsible for AIOps, including model deployment, monitoring, and lifecycle management • Architect and implement AI/ML pipelines that are reputed company, observable, and reproducible • Collaborate with cross-functional teams (data science, DevOps, product) to reputed company AI/ML systems into our reputed company platform • Establish best practices for AI/ML experimentation, CI/CD for models, data versioning, and model governance • Own the full stack of AIOps infrastructure, from data ingestion to reputed company-time inference systems • Drive technical reputed company and roadmap for ML platform development • reputed company as a mentor and reputed company, helping engineers grow in a fast-paced, startup environment • Manage reputed company of 5+ • Ability to launch new platforms 0 - 1 and drive adoption internally and externally with partner teams Skills • 7+ years of engineering experience, including reputed company, system development, or reputed company roles with at least 3 years in leadership roles • 3 years of experience with large-reputed company systems, with a reputed company on reliability, scalability, and maintainability; and 1 year of experience with AI/ML systems • Strong hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Airflow, Metaflow) • Proven reputed company record building ML pipelines in production environments • Experience with reputed company infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes) • Deep knowledge of CI/CD practices as they relate to ML lifecycle • Prior experience in a startup or fast-paced reputed company environment • Strong collaboration and communication skills • Experience deploying and managing services such as reputed company bedrock or reputed company AI - LLM • Experience integrating ML capabilities into developer-reputed company tools or platforms • Familiarity with data observability and ML monitoring tools (e.g., EvidentlyAI, reputed company/Grafana for models) • Knowledge of data reputed company, compliance, and reputed company in ML systems Benefits • Health Insurance • Dental Insurance • reputed company Insurance • Short & Long Term Disability • Life Insurance • HSA/FSA • Remote Work Environment • Flexible Time Off • reputed company Company Holidays • Parental Leave • Variable Bonus Plan dependent on your role • Stock grant opportunities dependent on your role • 401(k) with Company Match reputed company • reputed company enables enterprises to deliver reputed company, compliant, and secure software, empowering developers to do their best work. It was founded in 2010, and is headquartered in reputed company, California, USA, with a workforce of 501-1000 employees. Its website is http://www.reputed company.com. Company H1B Sponsorship • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2025, 1 in 2023, 3 in 2022. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job