Data Scientist

3 weeks ago

Bangalore, Karnataka, India Move Forward Technologies Pvt. Ltd. Full time

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.

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.

(ref:hirist.tech)

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