AI Engineer – Applied AI | Python | ML & Deep Learning We’re hiring an AI Engineer to help build and deploy intelligent systems that power smart features, automate workflows, and drive better decision-making across our platform. This role is ideal for someone eager to apply cutting-edge AI in production environments and grow within a high-impact engineering team. Tech Stack You'll Work With: Python, TensorFlow, PyTorch, Hugging Face, Scikit-learn, OpenAI APIs, FastAPI, MLFlow, AWS/GCP What You'll Do: Build, test, and deploy machine learning and deep learning models Support development of AI features including predictions, classification, and recommendations Assist with data preprocessing, feature engineering, and model evaluation Collaborate with engineering and data teams to integrate AI solutions into real-world applications Contribute to model performance monitoring and pipeline improvements Stay up to date with AI tools and frameworks to enhance capabilities What We're Looking For: 2–4 years of experience in AI, machine learning, or data science roles Proficiency in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) Understanding of ML workflows, model deployment, and evaluation Familiarity with cloud platforms (AWS, GCP, or Azure) Bonus: Experience with generative AI, NLP, or ML model APIs

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