
Advanced AI Developer
1 day ago
As a Machine Learning Engineer, you will be part of a dynamic core team responsible for building the next generation of Machine Learning platforms and services. This is an exciting opportunity to work on cutting-edge projects that involve developing generative AI models using techniques like RAG, transformers, and other relevant approaches.
The ideal candidate will have a strong background in computer science, machine learning, or a related field, with 5+ years of experience in generative AI or related fields. Additionally, they should have experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
- Key Responsibilities:
- Develop innovative AI models using advanced techniques such as RAG and transformers.
- Fine-tune pre-trained language models for specific tasks and domains.
- Conduct research on new methods for improving the performance and capabilities of generative AI models.
- Apply software engineering rigor and best practices to machine learning/gen AI pipelines.
- Evaluate and analyze the performance of ML/generative AI models.
- Stay up-to-date with the latest advancements in generative AI research.
- Collaborate with cross-functional teams to develop and deploy proof-of-concept Gen AI systems.
Requirements:
- Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 5+ years of experience in generative AI or related fields.
- Strong programming skills in Python.
- Experience with Git, Docker, and a good understanding of Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS ML/Gen AI services.
- Exposure to ML/Gen AI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous towards work and planning.
You will have the opportunity to work on challenging projects, collaborate with experienced professionals, and contribute to the development of innovative AI solutions. Our team is dedicated to providing a supportive and inclusive environment that fosters growth and innovation.
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