Skills Skill Minimum Qualification No data available Key Responsibilities End-to-End Model Training Design train and fine-tune Machine Learning and Deep Learning models from scratch You know how to select the right architecture CNN RNN Transformer for the problem Inference Deployment You don t just stop at training You are responsible for running models in production optimizing them for latency and exposing them via APIs FastAPI Flask Deep Understanding You can debug a model not just by changing code but by analyzing loss curves adjusting learning rates and fixing data imbalances You know whythe model is failing Code Quality Write clean modular and production-ready Python code Your code is testable version-controlled and scalable Learn Adapt Collaborate with seniors to learn Knowledge Graph technologies Neo4j RDF and your AI skills to graph-based problems e g Graph Neural Networks Must-Have Skills Fundamental knowledge or AWS or a similar cloud platform AI Math Fundamentals Strong grasp of the theory behind ML you understand gradient descent backpropagation activation functions and overfitting underfitting concepts Deep Learning Frameworks 3 years of experience with PyTorch or TensorFlow You can write custom training loops and data loaders Python Mastery Expert-level Python skills You understand object-oriented programming decorators and memory management Data Engineering for AI Ability to build effective data pipelines Pandas NumPy to preprocess complex datasets before feeding them into models Model Evaluation Experience setting up robust validation strategies Cross-validation F1-score AUC-ROC to ensure models actually work on unseen data Nice to Have Experience with LLMs Large Language Models or NLP Exposure to graph databases Neo4j Neptune or network analysis Experience deploying models using Docker or Kubernetes

📌 Python Ai Engineer - Foresight (Karnataka)
🏢 BMW TechWorks India
📍 Karnataka