1. Job Title: Artificial Intelligence (AI) Engineer  
2. Introduction/Overview: The Artificial Intelligence (AI) Engineer will play a pivotal role in the IT department, contributing to the development and deployment of AI-driven solutions across various domains, driving innovation, enhancing operational efficiency, and enabling data-driven decision-making, opportunity to work on cutting-edge technologies in a dynamic and evolving industry landscape.  
3. Roles & Responsibilities: Design, develop, and deploy AI models and algorithms to solve complex business problems, collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions, optimize AI models for performance, scalability, and accuracy, implement and maintain machine learning pipelines, conduct thorough testing and debugging of AI models, stay updated with advancements in AI and machine learning technologies, document AI models, processes, and workflows, demonstrate strong problem-solving skills, work independently on complex tasks, exhibit excellent communication skills to convey technical concepts to non-technical stakeholders, foster a collaborative team environment, mentor junior team members.  
4. Years of Experience: 4 to 6 years of relevant experience in AI/ML development and deployment.  
5. Education Qualification: Minimum qualification of BTech in Computer Science, Information Technology, or a related field.  
6. Skills/Knowledge: Advanced Python programming including OOP, data manipulation with Pandas, data visualization with Matplotlib and Seaborn, Python libraries for AI/ML (NumPy, SciPy, Scikit-learn), debugging and testing frameworks (Pytest, Unittest), version control with Git and GitHub, neural network design, NLP techniques, computer vision algorithms, AI model evaluation and deployment strategies, AI frameworks (Keras, OpenAI Gym), TensorFlow (Keras API, TensorFlow Lite, TensorFlow Extended, TensorBoard), PyTorch (neural networks, transfer learning, PyTorch Lightning, PyTorch autograd), supervised and unsupervised learning algorithms, feature engineering, ML pipeline automation tools (MLflow, Kubeflow), Docker (containerization, CI/CD integration), AWS (SageMaker, EC2, S3, Lambda).  
7. Key Competencies: Strong problem-solving skills, ability to work independently, excellent communication skills, collaboration, mentoring, leadership, adaptability to new AI technologies, strategic planning, and execution.  
8. Domain/Industry: Information Technology, Artificial Intelligence, Machine Learning.  
9. Employment Type: No Details Found.  
10. Company Overview: No Details Found.  
11. Benefits & Opportunities: Opportunity to work on cutting-edge technologies, career roadmap with clear progression from AI model development to strategic leadership roles, mentoring opportunities, recognition as a key contributor, potential transition to senior leadership roles.  
12. Location & Travel: No Details Found.  