Senior AI Engineer - Remote

Overview

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions across our products and platforms. As a senior member of the team, you will be responsible for solving complex problems using AI technologies, mentoring junior engineers, and collaborating cross-functionally with product, data, and engineering teams to deliver scalable and impactful AI-driven features.

In Short

• Design and develop advanced machine learning models and deep learning architectures for real-world problems.
• Lead AI/ML system design, including data pipelines, model training workflows, evaluation strategies, and deployment frameworks.
• Conduct research and experimentation with new algorithms, tools, and technologies to enhance the company’s AI capabilities.
• Collaborate with product managers, data scientists, and software engineers to translate business requirements into AI solutions.
• Mentor and guide junior AI engineers and data scientists, fostering best practices in coding, experimentation, and model deployment.
• Optimize and monitor model performance in production, including addressing issues of bias, drift, and latency.
• Stay current with AI research, tools, and industry trends, and bring innovative ideas into the team.
• Contribute to technical strategy and help define the roadmap for AI initiatives.

Requirements

• Proven experience in AI/ML development.
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Ability to work collaboratively in a team environment.
• Excellent problem-solving skills and analytical thinking.
• Strong communication and mentoring abilities.
• Familiarity with cloud platforms and deployment strategies.
• Knowledge of data management and data engineering principles.

Benefits

• Competitive salary and performance-based bonuses.
• Opportunities for professional development and training.
• Flexible working hours and supportive work environment.
• Health and wellness benefits.
• Access to cutting-edge tools and technologies.