Key Responsibilities
AI Model Development: Design, develop, and deploy machine learning models and AI solutions to solve complex problems.
Data Analysis and Preprocessing: Collect, preprocess, and analyze large datasets to train and evaluate AI models.
Performance Monitoring: Monitor the performance of AI models, troubleshoot issues, and optimize algorithms for efficiency and accuracy.
Collaboration and Training: Work with cross-functional teams to understand AI requirements and provide training on AI tools and best practices.
Documentation: Develop and maintain comprehensive documentation on AI models, algorithms, and deployment processes.
Experience
5+ years of experience in AI and machine learning, including hands-on experience with model development, deployment, and optimization.
Technical Skills
Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
Experience with data preprocessing and feature engineering.
Knowledge of deep learning techniques and neural networks.
Familiarity with cloud platforms (e.g., AWS, Azure) for AI model deployment.
Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools.
Desired Skills
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills to interact with technical and non-technical stakeholders.
Ability to mentor and train junior AI engineers.
Commitment to continuous learning to stay updated with the latest AI technologies and practices.
Familiarity with tools such as Jupyter Notebooks, Git, Docker, Kubernetes.