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, offers an opportunity to work on cutting-edge technologies and make a strategic impact in a dynamic and evolving industry landscape.  
3. Roles & Responsibilities: Design, develop, and deploy AI models and algorithms to solve complex business problems across diverse domains, collaborate with data scientists, software engineers, and business stakeholders to understand requirements and 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, 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, proficiency in Python libraries for AI/ML (NumPy, SciPy, Scikit-learn), experience with Python debugging and testing frameworks (Pytest, Unittest), version control with Git and GitHub, neural network design and implementation, NLP techniques, computer vision algorithms, AI model evaluation, tuning, and deployment strategies, knowledge of AI frameworks (Keras, OpenAI Gym), AI ethics, TensorFlow Keras API, TensorFlow Lite, TensorFlow Extended (TFX), TensorBoard, PyTorch neural networks, transfer learning, PyTorch Lightning, PyTorch autograd, ML pipeline automation tools (MLflow, Kubeflow), Docker containerization, AWS SageMaker, AWS EC2, S3, Lambda.  
7. Key Competencies: Strong problem-solving skills, ability to work independently on complex tasks, excellent communication skills, ability to mentor junior team members, collaborative team environment, leadership in executing complex projects, strategic planning and execution of AI initiatives, thought leadership in AI.  
8. Domain/Industry: Information Technology (IT), AI/ML development and deployment.  
9. Employment Type: No Details Found.  
10. Company Overview: No Details Found.  
11. Benefits & Opportunities: Opportunity to work on cutting-edge technologies, make a strategic impact in a dynamic and evolving industry landscape, career roadmap with growth into leadership roles, equal opportunity employer valuing diversity.  
12. Location & Travel: No Details Found.  