Senior Data Scientis
Senior Data Scientis1
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About the Job
Skills
Job Title: Senior Data Scientist - Large Language Models (LLMs)
We are seeking an experienced and highly skilled Data Scientist with expertise in Machine Learning, Deep Learning, and a strong focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a key role in developing and deploying AI solutions that have a real-world impact on patients and healthcare providers.
Responsibilities:
LLM Development and Fine-tuning:
Fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for business applications and various NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering.
Experience with transformer-based NLP models like BERT will be a plus.
Data Engineering:
Work closely with data engineers to develop efficient data pipelines that ensure the quality and integrity of large-scale text datasets used for LLM training and fine-tuning.
Experimentation and Evaluation:
Develop comprehensive experimentation frameworks to assess model performance, identify areas for improvement, and guide model selection.
Familiarity with LLM testing frameworks like TruLens will be an added advantage.
Production Deployment:
Collaborate with MLOps and Data Engineering teams to integrate models into scalable, production-grade systems.
Predictive Model Design and Implementation:
Apply machine learning, deep learning, and LLM methods to design and deploy predictive models in oncology, such as survival models.
Cross-functional Collaboration:
Work closely with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions.
Knowledge Sharing:
Mentor junior team members and stay abreast of the latest advancements in machine learning and LLMs.
Qualifications Required:
Doctoral or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models.
12+ months of in-depth experience working specifically with LLMs.
Proficiency in Python and NLP-focused libraries such as spaCy, NLTK, Transformers, TensorFlow, or PyTorch.
Experience working with cloud platforms (AWS, GCP, Azure).
Additional Skills:
Strong analytical and problem-solving abilities.
Excellent written and verbal communication skills.
Ability to thrive in a collaborative and fast-paced environment.
About the company
Industry
IT Services and IT Consul...
Company Size
2-10 Employees
Headquarter
Kolhapur, Maharashtra
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