AI/ML Ops

Job Description: Join GlobalLogic and become a valuable part of the team working on a significant software project for a world-class company providing M2M / IoT 4G/5G modules to various industries such as automotive, healthcare, and logistics. Your role will involve contributing to the development of end-user modules" firmware, implementing new features, maintaining compatibility with the latest telecommunication and industry standards, as well as analyzing and estimating customer requirements. Key Responsibilities: - Apply machine learning algorithms to existing operational data (logs, metrics, events) to predict system failures and proactively address potential incidents. - Implement automation for routine DevOps practices including automated scaling, resource optimization, and controlled restarts. - Develop and maintain self-healing systems to reduce manual intervention and enhance system reliability. - Build anomaly detection models to quickly identify and address unusual operational patterns. - Collaborate closely with SREs, developers, and infrastructure teams to continuously enhance the operational stability and performance of the system. - Provide insights and improvements through visualizations and reports leveraging AI-driven analytics. - Create a phased roadmap to incrementally enhance operational capabilities and align with strategic business goals. Qualifications Required: - Strong experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn). - Proficiency in data processing and analytics tools (e.g., Splunk, Prometheus, Grafana, ELK stack). - Solid background in scripting and automation (Python, Bash, Ansible, etc.). - Experience with cloud environments and infrastructure automation. - Proven track record in implementing proactive monitoring, anomaly detection, and self-healing techniques. - Excellent analytical, problem-solving, and strategic planning skills. - Strong communication skills and the ability to effectively collaborate across teams.,