Description
You will architect AI/ML systems and integrate generative AI features into existing business applications.
Responsibilities
- Execute end-to-end Generative AI projects using OpenAI, GPT-4, and Llama-2.
- Develop end-to-end NLP deep models for conversational AI, information retrieval, and knowledge management.
- Build and manage supervised and unsupervised machine learning algorithms.
- Architect AI/ML systems and deploy solutions using AWS Lambda and EC2.
- Perform statistical analysis, fine-tuning, and root cause analysis to solve business questions.
Required Skills
- 6+ years of experience in data acquisition, mining, transformation, and machine learning.
- At least 1 year of experience in Generative AI, including delivering 2+ Gen AI-based solutions.
- Proficiency in Python, SQL, and API development.
- Hands-on experience with LangChain, Semantic Kernel, and Prompt Engineering.
- Experience with OpenAI, Claude, and other Open Source or API-based LLMs.
- Knowledge of data processing packages including NumPy, SciPy, and Pandas.
- Experience with AWS Lambda and EC2 services.
- Ability to manage data pipelines and workflows.
- Bachelor's degree in statistics, mathematics, engineering, computer science, or a related quantitative discipline.
Preferred Skills
- Experience with FastAPI, Scala, and Snowflake.
- Familiarity with Airflow for workflow management.