Data Scientist

3 weeks ago


Bengaluru, Karnataka, India Rohini IT Consulting LLP Full time

Job Title: Data Scientist

 

About the Role: We are seeking an experienced Data Scientist to join our team at Rohini IT Consulting LLP. As a Data Scientist, you will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

 

Key Responsibilities:

1. LLM Development and Fine-tuning: Fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering.

2. 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.

3. Experimentation and Evaluation: Develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection.

4. Production Deployment: Work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

5. Predictive Model Design and Implementation: Leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models).

6. Cross-functional Collaboration: Partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions.

7. Knowledge Sharing: Mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs.

 

Qualifications:

Doctoral or masters degree in computer science, Data Science, Artificial Intelligence, or related field.

5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models.

12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

Experience working with cloud-based platforms (AWS, GCP, Azure).

Additional Skills:

Excellent problem-solving and analytical abilities.

Strong communication skills, both written and verbal.

Ability to thrive in a collaborative and fast-paced environment.


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