ML Ops + Python

Role Overview: As an ML/Ops Engineer with 6+ years of experience, your primary responsibility will be to analyze, design, develop, and manage data pipelines to release scalable Data Science models. You will be expected to deploy, monitor, and operate production-grade AI systems in a scalable, automated, and repeatable manner. Key Responsibilities: - Create and maintain scalable code to deliver AI/ML processes. - Design and implement pipelines for building and deployment of ML models. - Develop dashboards for system monitoring. - Collect metrics and establish alerts based on them. - Design and execute performance tests. - Conduct feasibility studies/analysis with a critical perspective. - Support and troubleshoot data and application issues. - Produce technical documentation for applications, including diagrams and manuals. - Address various software challenges while ensuring simplicity and maintainability within the code. - Contribute to architectural designs of large complexity, potentially involving multiple software components. - Collaborate with the team to foster team building, motivation, and effective team relations. Qualifications Required: - Demonstrated experience and knowledge in Linux and Docker containers. - Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP, or AWS). - Proficiency in programming languages, especially Python. - Experience with ML/Ops technologies like Azure ML. - Experience or exposure to AI/ML frameworks such as PyTorch, Onnx, Tensorflow (Preferred). - Experience in designing and implementing CICD pipelines for automation (Preferred). - Experience in designing monitoring dashboards (Grafana or similar) (Preferred). - Proficiency in SQL. - Familiarity with collaborative development tools like Git, Confluence, Jira, etc. - Strong analytical and logical thinking capability. - Proactive attitude, resolutive, team player, and ability to manage deadlines effectively. - Quick learner with Agile methodologies development (SCRUM/KANBAN) experience. - Minimum 6 years of work experience with evidence. - Excellent written and oral communication skills in English.,