Company Overview :

InfoMagnus is a leading technology solutions provider specializing in data-driven innovation for businesses across various sectors, including finance, healthcare, and retail. We empower organizations to unlock the full potential of their data through advanced analytics, machine learning, and AI-powered solutions. Our expertise spans from data engineering and cloud infrastructure to building and deploying sophisticated AI models, enabling our clients to make smarter decisions, optimize operations, and gain a competitive edge.

Role Overview :

As an AI Architect at InfoMagnus, you will be at the forefront of designing and implementing cutting-edge AI solutions for our clients. You will collaborate closely with data scientists, data engineers, and business stakeholders to translate business requirements into robust and scalable AI architectures. Your expertise will be instrumental in guiding the development and deployment of machine learning models, ensuring their seamless integration with existing systems and cloud infrastructure. This role offers the opportunity to shape the future of AI within our organization and deliver impactful solutions that drive tangible business value for our clients.

Key Responsibilities :

- Design and implement scalable and robust AI architectures that meet the specific needs of our clients.

- Collaborate with data scientists and data engineers to develop and deploy machine learning models, ensuring their performance, reliability, and security.

- Define and enforce best practices for data modeling, data governance, and data security across all AI projects.

- Evaluate and recommend appropriate AI technologies and platforms, including cloud-based solutions, to optimize performance and cost-effectiveness.

- Lead the development of MLOps pipelines to automate the deployment, monitoring, and maintenance of machine learning models.

- Provide technical guidance and mentorship to junior team members, fostering a culture of innovation and continuous learning.

- Work closely with business stakeholders to understand their needs and translate them into technical requirements for AI solutions.

- Contribute to the development of AI strategy and roadmap, identifying new opportunities for AI innovation within the organization.

Required Skillset :

- Demonstrated ability to design and implement scalable and robust AI architectures using cloud platforms (e.g., AWS, Azure, GCP).

- Proven expertise in data modeling, data architecture, and data governance principles.

- Strong proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).

- Solid understanding of MLOps and DevOps practices for automating the deployment and monitoring of machine learning models.

- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical audiences.

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- Experience in building and deploying AI solutions in a fast-paced, agile environment.