Senior AI Developer

Senior AI Developer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Developer. The ideal candidate will play a crucial role in developing and deploying scalable AI solutions using advanced machine learning frameworks and cloud technologies. With a focus on performance optimization and efficient data handling, this position offers an opportunity to work with innovative AI applications. You will collaborate with cross-functional teams to integrate AI capabilities into various projects while ensuring secure and reliable deployments. If you're passionate about AI development and thrive in a remote work environment, we want to hear from you.

Accountabilities

• Develop, train, fine-tune, and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn.
• Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Systems, NLP, and computer vision.
• Integrate and utilize pre-trained AI models, including those in AWS Bedrock.
• Design and develop RESTful APIs for AI model deployment using Flask or FastAPI.
• Implement robust microservices architecture for AI-based applications.
• Deploy AI solutions using AWS Bedrock and integrate with AWS services.
• Design, query, and optimize relational and NoSQL databases.
• Collaborate with data scientists and engineers to ensure seamless integration of AI into applications.

Requirements

• 5+ years of experience in Python development with a focus on AI/ML.
• Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Experience with neural networks, NLP, LLMs, RAG, and computer vision.
• Experience in RESTful API development using Flask or FastAPI.
• Strong knowledge of OOP, functional programming, and microservices architecture.
• Hands-on experience with AWS services and cloud infrastructure.
• Experience with Docker and Kubernetes.
• Strong knowledge of databases including PostgreSQL and MongoDB.

Benefits

• Flexible work hours and a fully remote work environment.
• Opportunity to work on cutting-edge AI technologies.
• Professional development and training opportunities.
• Collaborative and inclusive work culture.
• Access to project management tools and resources.

Key skills/competency

• Machine Learning
• Deep Learning
• Natural Language Processing
• Computer Vision
• Large Language Models (LLMs)
• AWS Bedrock
• Python
• TensorFlow
• PyTorch
• Microservices