Lead AI/ML Data Scientist

April 13

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Description

• Lead and mentor a team of AI/ML data scientists, providing guidance, direction, and support in driving AI/ML innovation and execution. • Lead the planning and execution of AI/ML projects, defining project scope, objectives, and deliverables, and ensuring projects are delivered on time and within budget. • Lead the development and implementation of advanced AI and ML models to solve complex business problems, leveraging techniques such as supervised learning, unsupervised learning, and deep learning. • Lead the feature engineering process, identifying relevant features and engineering them from raw data to enhance model performance and predictive accuracy. • Lead the evaluation and validation of model performance, defining appropriate metrics and validation techniques to ensure robustness, reliability, and generalization. • Lead the optimization of model hyperparameters and configurations, leveraging techniques such as grid search, random search, and Bayesian optimization to maximize performance. • Lead the deployment of AI and ML models into production environments, ensuring seamless integration with existing systems and platforms to enable real-time inference and decision-making. • Lead the monitoring and maintenance of deployed models, implementing monitoring and alerting systems to detect and mitigate issues proactively. • Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to deliver end-to-end AI/ML solutions that meet customer requirements. • Stay informed about the latest advancements in AI and ML research and technology, exploring innovative approaches and techniques to enhance model performance and capabilities.

Requirements

• Master's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field. PhD is a plus. • 7+ years of experience in data science, with a focus on AI and ML techniques and applications. • Leadership experience, with a demonstrated ability to lead and mentor a team of data scientists. • Proficiency in programming languages such as Python or R, and experience with data science libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and pandas. • Strong understanding of AI and ML concepts and algorithms, including supervised learning, unsupervised learning, deep learning, and reinforcement learning. • Experience with feature engineering, model evaluation, and hyperparameter tuning techniques. • Familiarity with machine learning deployment and productionization, including model deployment frameworks and containerization technologies. • Excellent problem-solving skills and analytical thinking, with the ability to translate business requirements into technical solutions. • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

• Competitive salary: The industry standard salary for Lead AI/ML Data Scientists typically ranges from $200,000 to $300,000 per year, depending on experience and qualifications. • Comprehensive health, dental, and vision insurance plans. • Flexible work hours and remote work options. • Generous vacation and paid time off. • Professional development opportunities, including access to training programs, conferences, and workshops. • State-of-the-art technology environment with access to cutting-edge tools and resources. • Vibrant and inclusive company culture with opportunities for growth and advancement. • Exciting projects with real-world impact at the forefront of AI and ML innovation.