Key Responsibilities:
- Lead the design, development, and deployment of AI/ML models and solutions.
- Oversee the entire lifecycle of AI/ML projects, from conception and data gathering to model training, evaluation, and deployment.
- Provide technical guidance and mentorship to the AI/ML team, fostering a collaborative and innovative environment.
- Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application.
- Collaborate with cross-functional teams, including product management, engineering, and business stakeholders.
- Ensure the quality, performance, and scalability of AI/ML solutions.
- Manage project timelines, resources, and budgets effectively.
Educational Qualifications:
- Masters or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Must-Have Skills:
- Strong proficiency in programming languages such as Python, R, or Java.
- Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of machine learning algorithms, techniques, and best practices.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent communication, leadership, and problem-solving skills.
Good-to-Have Skills:
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Experience in natural language processing (NLP) or computer vision.
- Experience with DevOps practices and model deployment.
