Lead AI/ML Data Scientist at Unreal Gigs

Company Overview: Welcome to the forefront of artificial intelligence and machine learning innovation! Our company is dedicated to leveraging the power of data science to drive transformative change and solve complex problems across industries. We're committed to developing cutting-edge AI and ML solutions that push the boundaries of what's possible. Join us and lead our team in shaping the future of AI/ML data science.

Position Overview: As the Lead AI/ML Data Scientist, you'll be responsible for leading our AI and ML data science efforts and driving the development and deployment of advanced AI and ML models. You'll lead a team of talented data scientists and collaborate closely with cross-functional teams to deliver end-to-end AI/ML solutions. If you're a seasoned data science leader with expertise in AI and ML techniques and a track record of delivering impactful solutions, we want you on our team.

Key Responsibilities:

1. Technical Leadership: Lead and mentor a team of AI/ML data scientists, providing guidance, direction, and support in driving AI/ML innovation and execution.
2. Project Planning 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.
3. Model Development: 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.
4. Feature Engineering: Lead the feature engineering process, identifying relevant features and engineering them from raw data to enhance model performance and predictive accuracy.
5. Model Evaluation and Validation: Lead the evaluation and validation of model performance, defining appropriate metrics and validation techniques to ensure robustness, reliability, and generalization.
6. Hyperparameter Tuning: Lead the optimization of model hyperparameters and configurations, leveraging techniques such as grid search, random search, and Bayesian optimization to maximize performance.
7. Model Deployment: 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.
8. Monitoring and Maintenance: Lead the monitoring and maintenance of deployed models, implementing monitoring and alerting systems to detect and mitigate issues proactively.
9. Collaboration: 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.
10. Research and Innovation: Stay informed about the latest advancements in AI and ML research and technology, exploring innovative approaches and techniques to enhance model performance and capabilities.

Qualifications:

• 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.

Join Us: Ready to lead the charge in AI/ML data science? Apply now to join our team and shape the future of AI/ML innovation!