AI Engineer Fullstack

AI Engineer Fullstack

Roles & responsibilities

seeking a highly skilled AI Engineer (with Gen AI skills) to join the team. The person will play a pivotal role in designing, coding, and deploying advanced AI solutions using state-of-the-art technologies such as Databricks, AI Fabric, Azure, and Snowflake. This role requires a deep

understanding of AI/ML frameworks and cloud-based environments, focusing on building Scalable, high-performance AI solutions that drive value global network.

Key responsibilities include:

AI Solution Development:

Design, develop, and deploy Generative AI models and solutions that address complex business challenges across advisory, tax, and audit services.

Leverage platforms such as Databricks for data engineering and AI model development, AI Fabric for orchestration and deployment, and Snowflake for scalable data management.

Utilize Azure cloud services to implement and scale AI solutions, ensuring high availability, performance, and security.

Coding and Implementation:

Write high-quality, maintainable code using Python, Scala, or similar programming languages, focusing on AI/ML libraries and frameworks.

Develop and optimize data pipelines using Databricks, ensuring seamless data flow from ingestion to AI model training and inference.

Implement AI solutions using AI Fabric, focusing on model orchestration, deployment, and monitoring within a cloud environment.

Data Management and Integration:

Design and manage data architectures using Snowflake, ensuring data is organized, accessible, and secure for AI model training and deployment.

Integrate data from various sources, transforming and preparing it for AI model development, ensuring data quality and integrity.

Work with large datasets, applying best practices for data engineering, ETL processes, and real-time data processing.

Cloud & Infrastructure Management:

Deploy AI models and services in Azure, utilizing cloud-native tools and best practices to ensure scalability, reliability, and security.

Implement CI/CD pipelines to automate the deployment and management of AI models, ensuring rapid iteration and continuous delivery.

Optimize infrastructure for AI workloads, balancing performance, cost, and resource utilization.

This role is for you if you have the below

Educational qualifications

Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Certifications in AI/ML, web development, or cloud computing are advantageous.

Work experience

4+ years of experience in full-stack development, with a strong focus on AI.

Proven experience in developing and deploying web applications that integrate AI models and services.

Hands-on experience with frontend frameworks (React.js, Angular, Vue.js) and backend technologies (Node.js, Python).

Experience working in AI Labs or similar environments, with a focus on building AI-driven solutions.

Skills

Proficiency in designing and coding AI models, data pipelines, and cloud-based solutions.

Strong understanding of AI/ML algorithms, data engineering, and model deployment strategies.

Experience with cloud infrastructure management, particularly in Azure, and the ability to optimize AI workloads for performance and cost.

Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team environment.

Strong communication skills, with the ability to articulate complex technical concepts to technical and non-technical stakeholders.