Data Scientist - Deep Learning/Machine Learning

• 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).

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.

• Masters 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.

(ref:hirist.tech)