We are looking for a passionate, reliable, and motivated Entry-Level MLOps Engineer to join our dynamic team. This role is perfect for someone who thrives in a fast-paced, startup-minded environment, takes ownership of their work, and is committed to meeting deadlines. If you love deploying and making things work, enjoy designing architectures, building APIs, and getting data flowing, we want to hear from you!You likely have a passion for exploring the latest techniques to solve complex data and AI challenges. While you may be new to some AI aspects, you have experience deploying machine learning models, enabling inference, and working with cutting-edge technologies. If you’re ready to contribute and grow in a collaborative environment, this is the opportunity for you!Required Skills & Qualifications:Programming Languages: Proficient in Python.Frameworks: Familiarity with TensorFlow and PyTorch.API Development: Proven experience in creating and managing APIs (minimum of 10 projects).Containerization: Experience in building Docker containers and deploying Linux-based solutions.Model Deployment: Ability to deploy machine learning models through REST-based APIs.Testing: Comfortable following test cases and validating the performance of models and APIsGCP and AZURE - You must have some comfort levels with rapidly learning these environments Key Responsibilities:API Development and Deployment:Build and deploy REST-based APIs to support machine learning projects.Ensure APIs validate inputs and provide clear error handling.Integrate APIs with databases to store and manage data effectively.Model Deployment:Package and deploy machine learning models using REST-based APIs.Optimize and test models in production-like environments before deployment.Containerization and Orchestration:Create and manage Docker containers for deploying services.Collaborate on Kubernetes or other orchestration tools for scaling solutions.Script and Pipeline Optimization:Tune, test, and deploy Python scripts and ML workflows as part of a queueing or scheduling system.Follow provided test cases to ensure the robustness of deployed solutions.Collaboration and Communication:Work with cross-functional teams to hit project targets and deliver results on time.Communicate effectively within a team and independently drive assigned tasks.If this sounds like you, then ask yourself: are you truly ready for a challenge?Apply for this job and get ready for a smooth and straightforward HR process that will move you through quickly.
Job Title
Visual AId | Passionate MLops Engineer