Responsibilities:

• Lead and manage a team of AI engineers to develop and implement AI models and algorithms that enhance product features and improve customer experiences.
• Oversee the design, development, and deployment of AI solutions, ensuring they align with business objectives and industry standards.
• Collaborate with product managers, data scientists, and engineers to identify and prioritize AI initiatives based on customer needs and business goals.
• Evaluate and integrate advanced machine learning techniques to solve complex business problems.
• Monitor project progress, address technical challenges, and ensure timely delivery of AI solutions.
• Mentor and provide technical guidance to junior engineers, fostering a collaborative and innovative work environment.
• Stay updated with the latest advancements in AI technologies and industry trends to incorporate cutting-edge practices.

Requirements:

• Proven experience (1-2 years) as an AI Engineer or in a similar role, with a solid understanding of AI technologies and frameworks.
• Strong leadership and team management skills, with a track record of successfully leading AI projects.
• In-depth knowledge of machine learning algorithms, natural language processing, computer vision, and related technologies.
• Proficiency in programming languages such as Python, R, or Java, and experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Excellent problem-solving skills and the ability to quickly adapt to new technologies and methodologies.
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
• Experience in deploying AI models in production settings and monitoring their performance.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying and scaling AI solutions.
• Demonstrated experience in managing projects and delivering within specified timelines and budgets.

Work Environment:

• On-site, with opportunities for collaborative teamwork and engagement with cutting-edge projects.
• Full-time position requiring commitment to project timelines and team objectives.
• Supportive organizational culture that encourages innovation and continuous learning.