Data Scientist

4 weeks ago

Bengaluru, India Awign Full time

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.

(ref:hirist.tech)

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