Must have:
Python Programming
Pytorch
NLP
ML modeling/development
GenAI
SQL
LLMs RAG architecture and agentAI frameworks
Required Skills:
- PhD with 2 years of experience Masters degree with 4 years of experience in Statistics Computer Science Engineering Applied mathematics or related field
- 3 years of hands-on ML modeling/development experience
- Background in insurance and underwriting preferred
- Solid understanding of data analysis and statistical modeling.
- Knowledge of a variety of machine learning techniques (clustering decision tree bagging/boosting artificial neural networks etc.) and their real-world advantages/drawbacks.
- Demonstrated track records in experimental design and executions
- Hands-on experience with data wrangling including fuzzy matching and regular expression distributed computing and applying parallelism to ML solutions
- Strong programming skills in Python
- Solid background in algorithms and a range of ML models
- Excellent communication skills and ability to work and collaborate cross-functionally with Product Engineering and other disciplines at both the leadership and hands-on level
- Excellent analytical and problem-solving abilities with superb attention to detail
- Proven experience in providing technical leadership and mentoring to data scientists and strong project management skills with ability to monitor/track performance for enterprise success
- Experience communicating complex ideas simply presenting impact trade-offs and recommendations to non-technical partners.
- Working knowledge of core software engineering concepts (version control with Git/GitHub testing logging ...).
- Working knowledge of NLP LLMs RAG architecture and agent frameworks including safe automation design and evaluation systems.
- Experience in insurance financial services or related industries is a plus
Must have: Python Programming Pytorch NLP ML modeling/development GenAI SQL LLMs RAG architecture and agentAI frameworks Required Skills: PhD with 2 years of experience Masters degree with 4 years of experience in Statistics Computer Science Engineering Applied mathematics or related field 3 ye...
Must have:
Python Programming
Pytorch
NLP
ML modeling/development
GenAI
SQL
LLMs RAG architecture and agentAI frameworks
Required Skills:
- PhD with 2 years of experience Masters degree with 4 years of experience in Statistics Computer Science Engineering Applied mathematics or related field
- 3 years of hands-on ML modeling/development experience
- Background in insurance and underwriting preferred
- Solid understanding of data analysis and statistical modeling.
- Knowledge of a variety of machine learning techniques (clustering decision tree bagging/boosting artificial neural networks etc.) and their real-world advantages/drawbacks.
- Demonstrated track records in experimental design and executions
- Hands-on experience with data wrangling including fuzzy matching and regular expression distributed computing and applying parallelism to ML solutions
- Strong programming skills in Python
- Solid background in algorithms and a range of ML models
- Excellent communication skills and ability to work and collaborate cross-functionally with Product Engineering and other disciplines at both the leadership and hands-on level
- Excellent analytical and problem-solving abilities with superb attention to detail
- Proven experience in providing technical leadership and mentoring to data scientists and strong project management skills with ability to monitor/track performance for enterprise success
- Experience communicating complex ideas simply presenting impact trade-offs and recommendations to non-technical partners.
- Working knowledge of core software engineering concepts (version control with Git/GitHub testing logging ...).
- Working knowledge of NLP LLMs RAG architecture and agent frameworks including safe automation design and evaluation systems.
- Experience in insurance financial services or related industries is a plus
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