Automating Innovation with Generative AI Expert
3 weeks ago
Position Summary:
Generative AI Developer: Unlocking the Full Potential of AI
We are seeking a highly skilled and motivated Generative AI Developer to lead our team in harnessing the power of AI. As a key member, you will be responsible for tackling complex challenges across various domains, including:
- Code Optimization: Leverage generative AI to identify and implement opportunities for code improvement, boosting efficiency and performance.
- API Automation & Orchestration: Design and build automated systems that seamlessly interact with and orchestrate diverse APIs, freeing up valuable human resources.
- Automated Report Generation & Summarization: Utilize generative AI to automate report generation and summarization, extracting key insights and presenting them in clear, concise formats.
- Data Science Workflow Automation: Streamline and automate the entire data science workflow, from data acquisition and preparation to analysis and model development.
Key Responsibilities:
As a Generative AI Developer, you will:
- Utilize state-of-the-art open-source LLMs for various tasks.
- Leverage Hugging Face API and its extensive libraries for model access and manipulation.
- Adapt and personalize pre-trained models for specific use cases.
- Understand and wield RAG model capabilities for information retrieval and augmenting workflows.
- Manage and process high-dimensional data with vector databases.
- Orchestrate complex workflows using advanced frameworks like Langchain.
- Proactively stay updated on the latest advancements in the AI field.
- Continuously seek out new ways to leverage AI for impactful solutions.
- Design, develop, and implement state-of-the-art generative AI models using deep learning libraries like TensorFlow or PyTorch.
- Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
- Evaluate and select appropriate AI tools and frameworks for specific tasks.
- Train and optimize generative AI models to achieve desired performance metrics.
- Monitor and maintain deployed models, ensuring their accuracy and efficiency.
- Stay abreast of the latest advancements in generative AI research and development.
Requirements:
• Wide range of experience, utilizing professional concepts and company objectives to resolve complex issues in creative and effective ways
• Works on complex issues where analyzing situations or data requires an in-depth evaluation of variables, exercising judgment in selecting methods, techniques, and evaluation criteria to obtain results
• May manage a group, coordinating activities regarding costs, methods, and staffing
• Typically requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years
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