Job Description:
As a Principal AI Engineer, you will play a pivotal role in shaping the future of our AI-driven solutions. You will lead the design, development, and deployment of cutting-edge machine learning and artificial intelligence models, driving innovation and delivering impactful results. Collaborating closely with cross-functional teams, you will ensure the seamless integration of AI capabilities into our products and services, enhancing user experiences and achieving strategic goals. This position offers the opportunity to influence company-wide AI initiatives, mentor a talented team of engineers, and work on high-impact projects in a dynamic, fast-paced environment.
Responsibilities:
- Lead the end-to-end development of AI and machine learning models, including data preprocessing, model training, evaluation, and deployment.
- Drive AI innovation by identifying new opportunities, researching emerging technologies, and implementing best practices.
- Collaborate with product managers, data scientists, and engineers to align AI strategies with business objectives.
- Mentor and guide a team of AI engineers and data scientists, fostering a culture of learning and excellence.
- Conduct cutting-edge research in AI, developing new algorithms, and pushing the boundaries of AI capabilities.
Preferred Qualifications:
- Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Extensive experience in developing and deploying machine learning models at scale.
- Proficiency in programming languages such as Python, R, or Java, with a strong focus on AI frameworks like TensorFlow or PyTorch.
- Expertise in natural language processing (NLP), computer vision, or other specialized AI domains.
- Proven track record of leading complex AI projects from conception to production.
- Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment.
- Excellent problem-solving skills and the ability to work on ambiguous, high-impact challenges.
- Exceptional communication and leadership abilities, with experience mentoring technical teams.
- Familiarity with MLOps tools and practices to streamline model lifecycle management.
