AI Programmer

An AI Programmer is responsible for translating the designs of AI engineers and researchers into robust, efficient, and scalable code. They specialize in implementing, optimizing, and maintaining the software components that power artificial intelligence systems. This role involves deep technical expertise in programming languages, AI frameworks, and development methodologies to bring intelligent solutions to life across various applications and industries.

Responsibilities

• Implement and optimize AI and machine learning algorithms and models based on specifications from AI Engineers and Researchers.

• Develop, test, and maintain the software infrastructure and pipelines for AI systems, including data ingestion, model training, and deployment.

• Write clean, efficient, and well-documented code for AI applications, ensuring high performance and reliability.

• Integrate AI models and components into existing software systems, applications, cloud platforms, or edge devices.

• Debug and troubleshoot issues related to AI code, performance, and integration.

• Collaborate closely with AI Engineers, Data Scientists, and other software developers to ensure seamless integration and functionality.

• Assist in the collection, cleaning, and preprocessing of data for AI model training, focusing on programmatic solutions.

• Develop tools and utilities to support the AI development lifecycle, such as data versioning, model monitoring, and automated testing.

• Stay updated with the latest programming techniques, AI frameworks, and software development best practices.

• Contribute to the documentation of code, APIs, and development processes for AI solutions.

Requirements

• Bachelor’s Degree (minimum) in Computer Science, Software Engineering, or a related technical field with a strong focus on programming.

• Master’s Degree (preferred) in a related field, particularly if it includes advanced software development or AI implementation coursework.

Technical Skills

• Core Programming Languages (Expertise required): Python (dominant), Java, C++, Go.

• AI/ML Frameworks (Implementation focus): TensorFlow, PyTorch, Keras, Scikit-learn (ability to implement and optimize models within these frameworks).

• Data Manipulation & Analysis: Pandas, NumPy (strong proficiency in programmatic data handling).

• Software Development Methodologies: Strong understanding of software development life cycle (SDLC), version control (Git), agile methodologies.

• API Development & Integration: RESTful APIs, gRPC (experience in building and consuming APIs for AI services).

• Containerization & Orchestration: Docker, Kubernetes (experience in containerizing and deploying AI applications).

• Cloud Platforms: Experience with cloud services for compute and storage (AWS, Google Cloud, Azure) for deployment and infrastructure management.

• Performance Optimization: Knowledge of techniques for optimizing code performance and resource utilization in AI applications.

• Basic Understanding: Familiarity with machine learning algorithms, deep learning concepts, and data structures.