Principal AI Engineer
Principal AI Engineer
Creative Chaos- Posted a month ago
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Job Description
Job Brief:
Creative Chaos is looking for an experienced AI Engineer to join our innovative team. The successful candidate will have a robust understanding of machine learning algorithms and technologies. You will be responsible for designing, implementing, and optimizing AI models and tools to solve complex problems and enhance our products.
Duties and Responsibilities:
Creative Chaos is looking for an experienced AI Engineer to join our innovative team. The successful candidate will have a robust understanding of machine learning algorithms and technologies. You will be responsible for designing, implementing, and optimizing AI models and tools to solve complex problems and enhance our products.
Duties and Responsibilities:
- Develop and implement machine learning models and algorithms
- Analyze large datasets to derive actionable insights and improve AI systems
- Collaborate with data scientists and software engineers to integrate AI functionalities into existing applications
- Research and implement the latest advancements in AI technologies and methodologies
- Monitor and evaluate the performance of AI models and tweak as necessary
- Provide technical support to other teams in utilizing AI solutions effectively
- Document development processes, model designs, and results to ensure reproducibility and efficiency
- Participate in code reviews and share best practices with the team
- Contribute to the overall strategy and direction of the AI initiatives within the company
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
- 5+ years of experience as an AI Engineer or similar role in artificial intelligence development
- Strong proficiency in Python, Conversational AI, AI data pipelines, RAG (Retrieval-Augmented Generation) and Agentic AI
- Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
- Familiarity with data preprocessing and data augmentation techniques
- Solid understanding of algorithms, data structures, and design patterns
- Experience with cloud platforms (e.g., AWS, Azure) for deploying AI solutions
- Strong problem-solving skills and the ability to work collaboratively in a team environment
- Excellent communication skills, capable of conveying complex concepts to non-technical stakeholders
- Passion for technology and a drive to stay current with industry trends and advancements
More Info
Key Skills
data preprocessing
RAG Retrieval-Augmented Generation
AI data pipelines
Agentic AI
data augmentation
Conversational AI
About Company
Skills:
Microsoft Azure, Python, GitHub Copilot, RESTful API design, AI ethics and regulations
Skills:
Tensorflow, Pytorch, Python, Generative AI, fine-tuning, model evaluation, Agentic AI, prompt engineering
Skills:
Distributed Systems, Self-Hosted Inference, AI Architecture, GPU infrastructure, Conversational AI assistants, Enterprise AI Security, Scalable AI infrastructure, Model serving frameworks, Autonomous engineering agents, Evaluation Frameworks, Agent Systems, Benchmarking systems, Production-grade AI systems
Skills:
Java, Data Structures And Algorithms, Rust, Apis, Cloudformation, Microservices, Terraform, System Design, Performance Testing, Distributed Systems, Python, AWS, Token optimization, Vector databases, Go, LLM engineering, Tool-calling interfaces, Infrastructure as code, Agent frameworks, Containerized services, Data pipelines, Context-window management
Skills:
bedrock , Gcp, Java, Typescript, MLops, Python, AWS, WDL, GA4GH standards, Go, Nextflow, Google Vertex AI, CWL