AIML Engineer

We're looking for an experienced AI/ML Engineer to design, build, and deploy machine learning solutions that power intelligent applications. If you're passionate about predictive modeling, deep learning, and production AI systems, we'd love to connect with you! Required Skills: Python, Machine Learning, Deep Learning, TensorFlow / PyTorch, Scikit-learn, Pandas & NumPy, SQL, MLflow, Docker, Kubernetes, AWS SageMaker / Azure ML / Vertex AI, Git & CI/CD. Key Responsibilities: Design, develop, and deploy machine learning models for production environments. Build data preprocessing, feature engineering, and model training pipelines. Develop predictive analytics and deep learning solutions for business problems. Optimize model performance, accuracy, scalability, and inference speed. Deploy ML models using cloud-native platforms and containerized environments. Collaborate with Data Scientists, Data Engineers, and MLOps teams. Monitor model performance, detect drift, and implement continuous improvements. Follow MLOps and software engineering best practices throughout the ML lifecycle. Nice to Have: NLP or Computer Vision experience, Generative AI and LLM integration, Apache Spark / PySpark, Databricks, Feature Store implementation.