Data Scientist
2 weeks ago
Duration : 12 months.
Location : Bengaluru or Remote (If exceptional).
Timings : Full Time (As per company timings).
Notice Period : Immediate Joiner Required.
Role : Data Scientist.
Total Experience : 4+ Years.
Mandatory Skills : Machine Learning Techniques, Deep Learning Techniques, LLMs, Python, NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch), Cloud platform (AWS, Azure or GCP).
Job Description :
We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge NLP team.
You will play a pivotal role in developing and deploying innovative language-based AI solutions that drive real-world impact.
Responsibilities :
- LLM Development and Fine-tuning: Fine-tune, customize, and adapt large-scale language models
- Solution Design: Design, build, and deploy machine learning and deep learning models for various NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering.
- Data Engineering: Collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning.
- Experimentation and Evaluation: Develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection.
- Production Deployment: Work closely with software engineers to integrate NLP models into scalable production systems.
- Cross-functional Collaboration: Partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of NLP solutions.
- Knowledge Sharing: Mentor junior team members and stay up-to-date with the latest advancements in NLP and LLMs.
Must-Have Skills :
- Master's degree or Phd
- 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models.
- At least 12 months of in-depth experience working with Large Language Models.
- Proficiency in Python and NLP-focused libraries (e.
- Experience working with cloud-based platforms (AWS, GCP, Azure).
- Excellent problem-solving and analytical abilities.
- Strong communication skills, both written and verbal.
- Ability to thrive in a collaborative and fast-paced research environment.
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