Principal Data Scientist
6 months ago
**Meet Our Team**:
**Be a part of our vision where we change the way the world builds software.**
**Picture Yourself at Pega**:
- Understanding new business requirements related to NLG / Generative AI and researching into necessary tools and technologies (Python)
- Understand transformer models landscape including GPT (which model is good at what)
- Knowledge of prompt engineering with common models like ChatGPT etc.
- Ability to fine tune transformer models from Huggingface with client data
- Understand how LLMs call functions to perform tasks
- Understanding patterns in Gen AI like embedding models, RAG, Agents. Code interpreter, Reasoning
- Knowledge in Java is preferred but not mandatory
- Looking at gaps in technology space and providing solutions to fill the same
**What You'll Do at Pega**:
- Keeping abreast of newer technologies in the NLP space
- Understanding how to work with multiple languages
- Implementation of text analytics algorithms (Machine Learning / Deep Learning / Shallow Learning)
- Research into feature engineering and bring in best practices
- Prototyping of solutions and benchmarking for performance and accuracy (Boosting / Bagging / Treatments)
**Who You Are**:
- 6 years of relevant data science/NLP/NLG experience or specialization in text analytics and machine learning.
- 2 years of experience in transformers models and GPT
- Strong knowledge of machine learning fundamentals
- Strong knowledge of Python and Python based ML libraries
- Knowledge in non NLP data science algorithms is preferred.
- Good understanding and experience in text analytics including linguistic and statistical algorithms
- Strong maths and statistic proficiency
- Experience in using algorithms like Naïve Bayes, Maximum Entropy, SVM, Logistic Regression, Neural Networks, Transformers, GPT, BERT etc.
- Experience in semantic technologies
- Experience in building/using Rules engines using algorithms like RETE
- Good Communication skills
**What You've Accomplished**:
- **Leading the research and development of core algorithms in Text Analytics using Linguistic, Statistical and Semantic technologies**:
- Building domain specific NLP models that will be adopted by Financial / Telco / Health Science space
- Fine tuned LLM
- Build a RAG system using Cloud and open source models
- Utilize LLM to perform work sense /understand business intents
- Tried building agents to perform tasks through reasoning
LI-MC3
**Pega Offers You**:
- Gartner Analyst acclaimed technology leadership across our categories of products
- Continuous learning and development opportunities
- An innovative, inclusive, agile, flexible, and fun work environment
- Competitive global benefits program inclusive of pay + bonus incentive, employee equity in the company
**Inclusion and Diversity -** _Inclusive_ is one of our values at Pega. Pegasystems is committed to inclusion and diversity and strives to foster a fair and inclusive environment for all. We believe Pega can achieve more when we create a culture that inspires each of us to fully contribute each and every day. We encourage diverse thinking and collaboration for better outcomes for all. Learn more about our inclusive culture.
As an Equal Opportunity and Affirmative Action employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law.
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