AI / ML Lead

Job Description

Ahmed Embassy is seeking a highly skilled and experienced AI/ML Lead to spearhead the development and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a strong background in AI/ML, a proven track record of leading successful projects, and the ability to mentor and guide a team of engineers and data scientists. This role requires a blend of technical expertise, leadership capabilities, and a strategic mindset to drive innovation and contribute to the companys overall objectives. 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 (eg, 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 (eg, AWS, Azure, Google Cloud). Familiarity with big data technologies (eg, Hadoop, Spark). Experience in natural language processing (NLP) or computer vision. Experience with DevOps practices and model deployment.