Senior AI/ML Data Scientist

Company Overview: Welcome to the forefront of artificial intelligence and machine learning innovation! Our company is dedicated to harnessing 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 be part of a dynamic team shaping the future of AI/ML data science.

Position Overview: As a Senior AI/ML Data Scientist, you'll play a pivotal role in driving the development and deployment of advanced AI and ML models. You'll work on a variety of projects, from predictive analytics and recommendation systems to natural language processing and computer vision. If you're a seasoned data scientist with expertise in AI and ML techniques and a track record of delivering impactful solutions, we want you on our team.

Requirements

Key Responsibilities:

1. Data Exploration and Preprocessing: Explore and preprocess large-scale datasets, identifying patterns, anomalies, and insights to inform model development.
2. Model Development: Develop and implement advanced AI and ML models to solve complex business problems, leveraging techniques such as supervised learning, unsupervised learning, and deep learning.
3. Feature Engineering: Engineer features from raw data to enhance model performance and predictive accuracy, leveraging domain knowledge and data analysis techniques.
4. Model Evaluation and Validation: Evaluate and validate model performance using appropriate metrics and validation techniques, ensuring robustness, reliability, and generalization.
5. Hyperparameter Tuning: Optimize model hyperparameters and configurations using techniques such as grid search, random search, and Bayesian optimization to maximize performance.
6. Model Interpretability: Interpret and explain model predictions and behavior to stakeholders, providing insights and actionable recommendations based on model outputs.
7. Model Deployment: Deploy AI and ML models into production environments, integrating with existing systems and platforms to enable real-time inference and decision-making.
8. Monitoring and Maintenance: Monitor model performance and health over time, 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.
• 5+ years of experience in data science, with a focus on AI and ML techniques and applications.
• 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 Senior AI/ML Data Scientists typically ranges from $170,000 to $250,000 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.

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