AI ML Engineer

We're looking for a passionate and driven AI Engineer to join our fast-growing startup. You'll work at the intersection of AI research and product engineering — building intelligent systems that solve real business problems. If you get excited by cutting-edge models, thrive in a collaborative culture, and love turning ideas into working products, this role is for you. Requirements Design, develop, and deploy AI/ML models for production use cases Translate ambiguous business problems into concrete AI-driven solutions Collaborate cross-functionally with product, data, and business teams Build and maintain data pipelines, model training, and inference systems Continuously experiment, iterate, and improve model performance Contribute to the team's technical culture through code reviews and knowledge sharing Required skills 1–2 years of hands-on AI/ML experience Proficiency in Python (NumPy, Pandas, Scikit-learn) Experience with ML frameworks — TensorFlow or PyTorch Understanding of NLP, computer vision, or generative AI Familiarity with REST APIs and model deployment Strong fundamentals in statistics & algorithms Git & version control practices Nice to have Experience with LLMs and prompt engineering Cloud platforms (AWS, GCP, Azure) MLOps tools (MLflow, DVC, Weights & Biases) Docker / Kubernetes basics SQL and data wrangling skills Exposure to FastAPI or Flask for model serving. Preferred: Participation in Kaggle competitions (ranked / medallist) or hackathons strongly preferred. It shows initiative, problem-solving ability, and a passion for continuous learning — qualities we deeply value.