Research and implement cutting-edge algorithms for real-time data processing.
Address various machine learning tasks, including prediction models, clustering, optimization, and outlier detection.
1+ years (minimu) of experience - Developing and fine-tuning LLM models with hands-on experience, including API consumption from platforms like OpenAI, ClaudeAI, and more.
1+ years (minimum) of experience with Utilizing LLM developer tools such as Langchain, Llama Index, and OpenLLM.
1+ years (minimum) of experience with image processing libraries, including OpenCV, Pillow, and H2O etc, to create fast and scalable solution.
Play a critical role in the entire product development lifecycle, from research to production.
Evaluate and validate analyses using statistical methods, presenting insights to non-technical stakeholders.
Skills and Attributes for Success:
Required Skills:
3+ years of hands-on experience in Python.
Extensive experience in the end-to-end development of data science products.
Solid understanding of Foundation Models and their applications.
Practical experience in applying LLM models to design applications.
Proficiency in tools that integrate with LLM models.
Intermediate experience with Python API frameworks (Flask, Django, etc.).
Preferred Skills:
Experience in Design Thinking and human-centered problem-solving.
Knowledge of large-scale optimization.
[Good To Have] : Experience with AI oriented cloud-service (Azure, AWS) such as AWS Bedrock, GCP ML Engine.
Qualifications:
Bachelors or masters degree in computer science, statistics, mathematics, or a related field.