Principal Data Scientist LLM Specialist
Principal Data Scientist LLM Specialist
Posted on :
21-09-2024
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1 Vacancy
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Job Description
Principal Data Scientist / LLM Specialist
Responsibilities:
1. Strategic Leadership:
a. Define and drive the overall data science strategy and roadmap for the organization aligning it with business objectives and technical capabilities.
b. Oversee the design development and implementation of data science solutions.
c. Foster a culture of innovation and continuous improvement within the data science team.
2. Data Strategy:
a. Develop and deploy advanced data science models and algorithms including LLMs to solve complex business problems. Identify acquire and curate highquality datasets relevant ML tasks.
b. Design and implement data preprocessing cleaning and augmentation techniques.
c. Leverage LLMs to extract deeper insights from data including unstructured text and natural language data.
3. DataDriven ML Development:
a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications.
b. Optimize LLM performance for specific tasks and domains.
c. Apply advanced data mining and machine learning techniques to extract valuable insights.
d. Evaluate ML performance using rigorous datadriven metrics.
4. ML Data Visualization and Analysis:
a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.
b. Identify trends patterns and anomalies in data. Explore new applications of LLMs in data science such as LLMpowered recommendation systems predictive analytics and anomaly detection.
c. Communicate datadriven insights to stakeholders effectively.
Minimum Required Skills:
- 11 years of experience preferred.
- Advanced degree in computer science data science or a related field.
- Deep understanding of LLM architectures algorithms and techniques.
- Strong experience in Python SQL. Should be extremely comfortable with Numpy Pandas Matplotlib and Scikit learn python libraries
- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering decision trees random forest etc.
- Knowledge on text classification sentiment analysis named entity recognition machine translation text summarization and questionanswering is must.
- Experience with LLM frameworks (Hugging Face Transformers TensorFlow PyTorch)
- Experience with data labeling and annotation tools.
Certifications in cloud platforms or ML technologies can be a plus.
- Proficient knowledge of cloud platforms (AWS GCP Azure).
- Strong problemsolving and analytical skills.
- Ability to work in teamoriented collaborative environment.
Keywords
Data Scientist
Statistician
Data Engineer
Python
R
Supervised & Unsupervised learning
Machine Learning Algorithms
Deep Learning
Hugging Face
Natural Language Processing (NLP)
Computer Vision
TensorFlow
PyTorch
Scikitlearn
Transformers
LLM Frameworks
LLM Models
o GPT 3 4o
o BERT
o Llama
data science,ml,algorithms,machine learning,python,r,data engineering,supervised learning,unsupervised learning,nlp,computer vision,tensorflow,pytorch,scikit-learn,transformer
Employment Type
Full Time
Key Skills
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