Artificial Intelligence Deployment Specialist
2 weeks ago
About Lamipak
Lamipak is a leading technology firm that focuses on harnessing the power of artificial intelligence (AI) to drive innovation and growth.
Estimated Salary: $120,000 - $180,000 per year
Job Description:
We are seeking an experienced AI Deployment Specialist to join our team. The successful candidate will be responsible for leading the development and deployment of large language models (LLM) and general AI models, focusing on scalable solutions. This role requires a strong understanding of API development with Flask, FastAPI, or Django, as well as expertise in data engineering and real-time data processing systems.
Key Responsibilities:
- Lead the development and deployment of LLM and general AI models, focusing on scalable solutions
- Specialize in API development for LLM deployment using Flask, FastAPI, or Django, ensuring seamless integration into our products
- Design, construct, install, test, and maintain highly scalable data management systems, ensuring robust data pipelines for AI deployments
- Implement data ingestion routines both from within and outside the company, ensuring data quality and accessibility for advanced analytics
- Demonstrate a deep understanding of Langchain and LlamaIndex for cutting-edge LLM applications
- Collaborate with product teams and stakeholders to implement AI-driven solutions that meet business needs
Required Skills and Qualifications:
- Expertise in LLM, general AI, and AI model deployment
- Strong experience in API development with Flask, FastAPI, or Django
- Knowledge of Langchain and LlamaIndex for LLM applications
- Expertise in AI and ML development tools, frameworks, and libraries (TensorFlow, PyTorch, GPT, etc.)
- Proven ability in data engineering, including managing data pipelines, databases, and real-time data processing systems
- Proficient in Python and familiar with AI/ML libraries and frameworks
- Innovative thinker with excellent problem-solving capabilities
- BSc/BA in Computer Science, Engineering, or related; a graduate degree in a relevant area is highly preferred
Benefits:
- Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
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