**Key Responsibilities:** * **AI Solution Design and Development:** * + Designing, developing, and deploying complex AI/ML models and systems. + Selecting and implementing appropriate algorithms and frameworks. + Building scalable and efficient AI pipelines. * **Model Training and Evaluation:** * + Training and fine\-tuning machine learning models using large datasets. + Evaluating model performance and optimizing for accuracy and efficiency. + Implementing model monitoring and retraining strategies. * **Software Development and Integration:** * + Integrating AI models into existing software systems. + Developing APIs and other interfaces for AI services. + Writing clean, efficient, and well\-documented code. * **Research and Innovation:** * + Staying up\-to\-date with the latest AI research and trends. + Exploring and evaluating new AI technologies and techniques. + Contributing to research and development efforts. * **Leadership and Collaboration:** * + Leading and mentoring junior AI engineers. + Collaborating with cross\-functional teams, including data scientists, software engineers, and product managers. + Communicating complex technical concepts to non\-technical stakeholders. * **Solution Architecture:** * + Designing the architecture of AI powered solutions, insuring scalability, and reliability. **Requirements** **Required Skills and Qualifications:** * **Education:** * + A bachelor's or master's degree in computer science, artificial intelligence, machine learning, or a related field. * **Experience:** * + Significant experience in AI/ML development, typically 5\+ years. + Proven track record of deploying AI solutions in production environments. + Experience with deep learning frameworks (TensorFlow, PyTorch, etc.). + Experience with cloud platforms (AWS, Azure, GCP). * **Technical Skills:** * + Proficiency in programming languages such as Python, Java, or C\+\+. + Strong understanding of machine learning algorithms and deep learning techniques. + Experience with natural language processing (NLP), computer vision, or other AI subfields. + Knowledge of data engineering principles and practices. + Familiarity with containerization and orchestration tools (Docker, Kubernetes). * **Soft Skills:** * Strong problem\-solving and analytical skills. * Excellent communication and collaboration skills. * Ability to work independently and as part of a team. * Leadership qualities.