Experience: 3+ years of experience in AI, machine learning, or data science, with a proven track record of deploying AI solutions in a production environment.
Technical Expertise: Deep understanding of AI and machine learning techniques, including supervised and unsupervised learning, NLP, computer vision, deep learning, and statistical Modeling.
Proficiency in AI Tools and Frameworks: Strong experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and cloud-based ML services (e.g., AWS SageMaker, Azure ML, Google AI).
Programming Skills: Proficiency in programming languages like Python and familiarity with data processing libraries (e.g., Pandas, NumPy).
Data Management Knowledge: Experience with big data technologies (e.g., Hadoop, Spark) and data engineering best practices.
Strategic and Analytical Thinking: Ability to develop AI strategies aligned with business goals and assess the business impact of AI initiatives.
Communication and Collaboration: Excellent communication skills to work effectively with cross-functional teams and to present complex technical information to non-technical stakeholders.