Responsibilities

• Design, develop, and deploy machine learning and AI-driven features into production systems.
• Utilize supervised, unsupervised, and deep learning techniques on both structured and unstructured data.
• Collaborate with cross-functional teams, including engineers, designers, and product stakeholders, to transform ambiguous problems into scalable AI solutions.
• Conduct experiments and prototypes to explore the feasibility of new technologies and approaches.
• Iteratively evaluate and refine deployed AI models to ensure they meet performance metrics and user needs.
• Engage in continuous learning to stay updated with the latest advancements in AI and ML technologies.
• Balance technical rigor with practical constraints to deliver high-quality solutions that address real-world challenges.

Requirements

• Proven experience in applied machine learning or AI engineering, with a strong portfolio of projects.
• Expertise in programming languages such as Python, Java, or R, and familiarity with machine learning frameworks like TensorFlow or PyTorch.
• Solid understanding of statistical methods and algorithms used in machine learning.
• Experience working with large datasets and data preprocessing techniques.
• Strong problem-solving skills and the ability to think critically about complex technical issues.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• A bachelor’s degree in Computer Science, Data Science, or a related field; a master’s degree is a plus.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and development through training and mentorship.
• Flexible work environment with options for remote work.
• Collaborative and inclusive company culture focused on innovation.
• Access to cutting-edge technologies and tools.
• Potential to make a significant impact on projects that enhance the daily lives of millions.