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Artificial Intelligence Engineer
2 weeks ago
Job OverviewThis is an opportunity to take on a challenging role where you will work on top-notch projects with F500 companies.Develop and deploy machine learning models into production-grade environments.Design and manage MLOps pipelines for continuous training, monitoring, and versioning.Automate data processing, model deployment, and CI/CD workflows.Collaborate closely with engineering and product teams to translate business needs into ML solutions.Must-Have Skills:Machine Learning & AI: Model development, training, evaluation, and optimization.MLOps: Model deployment, monitoring, ML pipelines, experiment tracking (e.g., MLflow, Kubeflow).DevOps: CI/CD, containerization (Docker), orchestration (Kubernetes).Python: Advanced proficiency with ML libraries and automation.Cloud Platforms: AWS / GCP / Azure (any one or more).Version Control & Automation: Git, scripting, workflow automation.As a key member of our team, you will have the opportunity to develop your skills in machine learning and data science. You will be working on challenging projects that require creativity and problem-solving skills.Key qualifications for this role include:A strong background in machine learning and AI.Proficiency in Python and ML libraries such as TensorFlow and PyTorch.Experience with DevOps tools such as Docker and Kubernetes.Strong collaboration and communication skills.We are looking for a talented individual who can contribute to the success of our team. If you have a passion for machine learning and data science, we encourage you to apply for this role.
