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Location

Bangalore | India

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Job description

About the Role: Duration: 12 months Location: Remote 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)

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 impact.

Responsibilities: 1.

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. 2.

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. 3.

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. 4.

Experimentation and Evaluation:

Develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. 5.

Production Deployment:

Work closely with software engineers to integrate NLP models into scalable production systems. 6.

Cross-functional Collaboration:

Partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of NLP solutions. 7.

Knowledge Sharing:

Mentor junior team members and stay up-to-date with the latest advancements in NLP and LLMs.

Must-Have Skills 1. 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. 3. At least 12 months of in-depth experience working with Large Language Models. 4. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch). 5. Experience working with cloud-based platforms (AWS, GCP, Azure). 6. Excellent problem-solving and analytical abilities. 7. Strong communication skills, both written and verbal. 8. Ability to thrive in a collaborative and fast-paced research environment

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Job tags

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Salary