Team Lead AI/ML

As an experienced professional with 5+ years of experience in AI/ML, you will be responsible for leading AI/ML teams and managing projects end-to-end to ensure timely delivery and quality outcomes. Your expertise in machine learning algorithms, deep learning frameworks (such as TensorFlow, PyTorch), and programming languages like Python or R will be crucial for success. You will define technical vision, set team objectives, and mentor AI/ML engineers and data scientists. Project management skills including scoping, resource allocation, timeline management, and stakeholder coordination are essential. Your experience in model selection, training, evaluation, and optimization for scalable AI/ML solutions will be highly valued. Additionally, knowledge of data collection, preprocessing, feature engineering, and ensuring data quality and compliance is required. Effective collaboration with cross-functional teams, including software and data engineers, and domain experts is key. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI/ML solutions is a plus. Strong communication skills to convey complex technical concepts clearly to diverse stakeholders are necessary. Qualifications required: - Bachelor's or Masters degree in Computer Science, Data Science, Machine Learning, or related field. Please share an updated copy of your CV on . As an experienced professional with 5+ years of experience in AI/ML, you will be responsible for leading AI/ML teams and managing projects end-to-end to ensure timely delivery and quality outcomes. Your expertise in machine learning algorithms, deep learning frameworks (such as TensorFlow, PyTorch), and programming languages like Python or R will be crucial for success. You will define technical vision, set team objectives, and mentor AI/ML engineers and data scientists. Project management skills including scoping, resource allocation, timeline management, and stakeholder coordination are essential. Your experience in model selection, training, evaluation, and optimization for scalable AI/ML solutions will be highly valued. Additionally, knowledge of data collection, preprocessing, feature engineering, and ensuring data quality and compliance is required. Effective collaboration with cross-functional teams, including software and data engineers, and domain experts is key. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI/ML solutions is a plus. Strong communication skills to convey complex technical concepts clearly to diverse stakeholders are necessary. Qualifications required: - Bachelor's or Masters degree in Computer Science, Data Science, Machine Learning, or related field. Please share an updated copy of your CV on .