
Leading Genarative AI Developer
3 days ago
We are seeking a talented Machine Learning Engineer to join our team. As a key member of our core team, you will be responsible for developing and deploying machine learning models that drive business growth.
Key Responsibilities:
- Develop and Train Generative AI Models: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tune Pre-trained LLMs: Fine-tune pre-trained LLMs for specific tasks and domains.
- Conduct Research: Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply Software Engineering Rigor: Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
- Evaluate Model Performance: Evaluate and analyze the performance of ML/generative AI models.
- Stay Up-to-Date: Stay up to date on the latest advancements in generative AI research.
- Facilitate Proof-of-Concept Development: Facilitate the development and deployment of proof-of-concept Generative AI systems.
Qualifications:
- Education: Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Experience: 3-5 years of experience in generative AI or related fields.
- Technical Skills: Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
- Programming Skills: Strong programming skills in Python.
- Techniques and Tools: Familiarity with RAG and other techniques for building generative models.
- Cloud and DevOps: Extensive experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Soft Skills: Excellent communication and collaboration skills.
What We Offer:
Our team offers a dynamic and supportive work environment that fosters innovation and collaboration.
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