Remote Senior Machine Learning Engineer

Summary

Join Code and Theory as an AI Engineer to collaborate with data scientists and business teams to augment digital transformation efforts. Define AI architecture, select technologies, and ensure ethical implementation. Work closely with security leaders to foresee risks and map regulations to best practices.

Requirements

• Proven experience as an AI Engineer, Machine Learning Engineer, Data Engineer or AI Architect
• Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
• In-depth knowledge of machine learning techniques, algorithms, and model evaluation
• Familiarity with big data technologies, cloud platforms, and distributed computing
• Excellent problem-solving abilities and analytical thinking
• Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members

Responsibilities

• Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals
• Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities
• Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models
• Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics
• Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems
• Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions
• Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration
• Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions
• Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows
• Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues
• Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments