Hiring For AI Engineer (Thermal)

Job Description

Job Description Develop and implement machine learning (ML) and deep learning (DL) models for real-world applications. Preprocess and analyze large datasets to extract meaningful features. Optimize AI models for performance, scalability, and deployment in production environments. Work with frameworks such as TensorFlow, PyTorch, Scikit-learn for ML/DL model development. Deploy AI models using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Collaborate with data scientists, MLOps engineers, and software developers to integrate AI models into production. Implement hyperparameter tuning, model optimization, and automated retraining workflows. Develop computer vision, NLP, or predictive analytics solutions as per project requirements. Ensure AI model reliability, robustness, and ethical AI compliance. Education & Experience 1. Experience: Skilled (2-3 year) 2. Qualification: B.Tech CSE *Is as plus: UG/PG course on or similar to: Machine Learning / Deep Learning / Artificial Intelligence Knowledge and Skills Knowledge Excellent analytical and problem-solving skills Excellent Programming skills with know-how of data structures and Algorithms Strong in Mathematical concepts like probability, Linear Algebra, P&C etc. Strong understanding of machine learning concepts, algorithms, and frameworks Familiarity with deep learning architectures (CNN, RNN, RL etc.) and their applications Knowledge of data preprocessing, feature engineering, and model evaluation techniques Understanding of model deployment processes and integration into production environments Skill: Proficiency in Python programming, including libraries like TensorFlow, Keras, PyTorch, and Scikit-learn. Strong understanding of data pre-processing, feature engineering, and model evaluation techniques. Experience in building and training machine learning/Deep Learning models . Familiarity with data manipulation libraries like Pandas, NumPy, and Matplotlib . Ability to optimize models for performance, scalability, and accuracy. Experience with version control systems like Git. Strong in Mathematical concepts like probability, Linear Algebra , P&C etc Solid debugging and problem-solving skills, with attention to detail. Good communication and teamwork skills to work effectively in cross-functional teams.