About the role
structured by ORIKey Responsibilities Design and implement ML models including regression, classification, clustering, and optimization algorithms. Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation.
What you will do
- Design and implement ML models including regression, classification, clustering, and optimization algorithms.
- Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation.
- Collaborate with cross-functional teams to identify opportunities for AI integration into business processes.
- Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex).
- Fine-tune and optimize models for performance, scalability, and accuracy.
What they are looking for
- Strong programming skills in Python.
- Solid understanding of traditional ML models and statistical techniques.
- Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases.
- Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace).
- Familiarity with prompt engineering and LLM fine-tuning.
- Exposure to cloud platforms (Azure preferred).
Nice to have
- Master’s degree in Computer Science, Data Science, Engineering, or related field.
- Experience in the life sciences or healthcare domain is a plus.
- Strong communication and stakeholder management skills.
- Ability to work in a fast-paced, collaborative environment.
Full posting text
Key Responsibilities
Design and implement ML models including regression, classification, clustering, and optimization algorithms.
Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation.
Collaborate with cross-functional teams to identify opportunities for AI integration into business processes.
Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex).
Fine-tune and optimize models for performance, scalability, and accuracy.
Develop and maintain robust data pipelines and workflows.
Stay updated with the latest advancements in AI, ML, and NLP.
Required Skills
Strong programming skills in Python.
Solid understanding of traditional ML models and statistical techniques.
Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases.
Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace).
Familiarity with prompt engineering and LLM fine-tuning.
Exposure to cloud platforms (Azure preferred).
Preferred Qualifications
Master’s degree in Computer Science, Data Science, Engineering, or related field.
Experience in the life sciences or healthcare domain is a plus.
Strong communication and stakeholder management skills.
Ability to work in a fast-paced, collaborative environment.
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Business Consulting and Services