Senior AI and Machine Learning Engineer
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Job Description
- Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models.
- Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness.
- Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy.
- Deploys machine learning models into production environments, considering scalability, performance, and security considerations.
- Integrate models with existing software systems and infrastructure, ensuring smooth operation and interoperability.
- Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement. Based on insights gained from monitoring and analysis, fine-tune models, optimize algorithms, and enhance system performance.
- Organizes and leads comprehensive design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members.
- Works collaboratively with the engineering manager and team lead to set design and implementation standards, ensuring continuous improvement and alignment with project goals.
- Regularly leads meetings, fostering a collaborative and productive team environment.
- Has experience in providing technical leadership, mentorship, and guidance to junior team members.
- Address and resolve challenges proactively.
- Develops and delivers strategic presentations and reports to senior stakeholders, demonstrating a deep understanding of technical and business aspects. Provide insights and recommendations.
- Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets.