
Artificial Intelligence Specialist
2 days ago
Unlock your full potential in a dynamic work environment where innovation thrives. As a machine learning engineer, you will develop end-to-end pipelines for machine learning, implement model compression techniques, and productionize research solving complex business challenges.
Key Responsibilities:- Design and develop generative AI models using RAG, transformers, and other cutting-edge approaches.
- Fine-tune pre-trained LLMs for specific tasks and domains.
- Conduct in-depth research on new techniques to enhance generative AI performance and capabilities.
- Apply software engineering rigor and best practices to machine learning/generative AI pipelines.
- Evaluate and analyze the performance of ML/generative AI models.
- Stay up-to-date on the latest advancements in generative AI research.
- Drive the development and deployment of proof-of-concept Generative AI systems.
- Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 3-5 years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker, and Linux for server management.
- Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Exposure to ML/GenAI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous approach to work and planning.
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