Data Scientist - Bengaluru, India - Move Forward Technologies Pvt. Ltd.

Description

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)

Location:
Bengaluru or Remote (If exceptional)

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 LLM Development and Fine-tuning: Fine-tune, customize, and adapt large-scale language models (e.g., GPT-3, BERT, etc.) for specific business applications and NLP tasks.

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 Ph.

D. in Computer Science, Data Science, Computational Linguistics, or a related field.

2. 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.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).
• 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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