Mid-Level AI/ML Engineer

As a Mid-Level AI/ML Engineer at our company, you will be responsible for developing and optimizing AI solutions for our cutting-edge products. You will collaborate closely with senior engineers and data scientists to build models, deploy AI pipelines, and ensure scalable solutions. Key Responsibilities: - Develop & Tune ML Models using TensorFlow, PyTorch, and Scikit-learn. - Deploy & Optimize Models with FastAPI and cloud-native tools. - Manage ML Pipelines using Kubernetes, Terraform, and Podman. - Build AI Applications focusing on NLP, CV, and predictive analytics. - Collaborate on Data preprocessing and management. - Implement Security measures such as IAM, Vault, and TLS/SSH. - Research AI Trends to stay current with the latest developments. Requirements: - AI/ML & Deployment expertise in TensorFlow/PyTorch. - Cloud & Kubernetes experience with AWS/GCP/Azure and Kubernetes/Terraform. - Proficiency in Python & APIs including Python, SQL, and FastAPI. - Familiarity with MLOps & CI/CD practices using Podman/Docker. - Strong understanding of Data & Optimization principles including pipelines and model tuning. - Knowledge in Applied AI fields such as NLP, CV, and time-series analysis. Supplementary Skills: - Knowledge of transformer-based architectures, particularly Hugging Face. - Experience in AutoML and hyperparameter tuning. - Previous exposure to AI startup environments.,