As a Lead AI Engineer, you will also mentor junior team members, promote best practices in AI development, and contribute to strategic planning around AI initiatives. Your work will have a direct impact on our ability to deliver cutting-edge solutions that meet the evolving needs of our clients and users.

Qualifications

• Extensive experience in software development, with proficiency in programming languages such as Python, Java, or C++. Demonstrated ability to write clean, efficient, and maintainable code suitable for production environments.
• Proven track record of deploying AI/ML models into production, ensuring scalability, performance, and reliability. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring strategies.
• Strong experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio.
• Proficiency in containerization (Docker) and orchestration technologies (Kubernetes) to manage scalable AI solutions effectively.
• Solid understanding of data engineering principles, including building data pipelines, data wrangling, and integrating AI models with enterprise data systems.
• Experience working within agile development environments and participating in cross-functional team collaborations.
• Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders and collaborate effectively across teams.

Responsibilities

• Design, develop, and deploy scalable AI and machine learning models that align with business needs and technical specifications.
• Collaborate with data scientists and software engineers to productionize AI solutions, ensuring seamless integration and optimal performance.
• Implement and maintain MLOps pipelines for continuous integration, deployment, and monitoring of AI models.
• Optimize AI models for scalability, speed, and accuracy while maintaining robustness and reliability.
• Lead efforts in cloud-based AI solution architecture, leveraging platforms like AWS, Azure, or GCP.
• Build and manage data pipelines, ensuring high-quality data ingestion, processing, and storage for AI applications.
• Mentor junior team members, fostering an environment of learning and innovation.
• Stay updated with the latest advancements in AI and machine learning, applying best practices and emerging technologies to projects.
• Participate in strategic planning and contribute to the continuous improvement of AI development processes.

Benefits

At Hackajob Ltd, we value our employees and offer a comprehensive benefits package designed to support your professional and personal growth. You will have access to flexible working arrangements, including remote work options, to promote work-life balance. We provide competitive salary packages, performance-based bonuses, and opportunities for career advancement within a rapidly expanding organization.

Our benefits also include health insurance, generous paid time off, and ongoing training and development programs to help you stay at the forefront of AI and technology innovations. We foster a collaborative and inclusive work environment where your ideas and contributions are genuinely valued. Additionally, you will have access to a vibrant community of professionals dedicated to making a difference in the tech industry.

Equal Opportunity

Hackajob Ltd is an equal opportunity employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic protected by law. We believe that diversity drives innovation and excellence, and we actively promote a culture of equity and inclusion. We encourage candidates from all backgrounds to apply and provide accommodations throughout the recruitment process to ensure equal access for everyone.