Software Engineering

Collaborate with data scientists, software engineers, and cloud architects to design, develop, and deploy AI solutions on cloud platforms, including AWS, Azure, and Google Cloud Platform (GCP).

Develop and implement AI algorithms, models, and pipelines for tasks such as machine learning, natural language processing (NLP), computer vision, and predictive analytics.

Build and optimize infrastructure and environments for AI development and deployment on cloud platforms, including virtual machines, containers, and serverless architectures.

Design and implement data pipelines and workflows for ingesting, processing, and analyzing large volumes of structured and unstructured data from diverse sources.

Develop and maintain scalable and reliable AI applications and services, leveraging cloud-native technologies and best practices for performance, scalability, and cost optimization.

Collaborate with DevOps teams to automate deployment, monitoring, and management of AI solutions on cloud platforms, using tools such as Kubernetes, Docker, Terraform, and Ansible.

Ensure security, compliance, and governance requirements are met for AI solutions deployed on cloud platforms, and implement security controls and best practices to protect data and infrastructure.

Monitor, troubleshoot, and optimize AI solutions and infrastructure on cloud platforms to ensure reliability, performance, and cost efficiency.

Stay abreast of AI, cloud, and DevOps trends, technologies, and best practices, and incorporate them into our AI and cloud engineering processes and methodologies.

Collaborate with clients, partners, and stakeholders to understand requirements, provide technical expertise and guidance, and support the successful implementation and adoption of AI solutions.