Job Description
R
Rohini IT Consulting LLP
Data Scientist - Healthcare , LLM
Rohini IT Consulting LLP • Bengaluru, Karnataka • via Expertia AI
₹+L–₹50L a year
Full–time
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Job description
Role: Data Scientist
Location: Bangalore (Remote)
Experience: 2 - 10 years
Skills Required - Radiology, visual images, text, classical model, LLM multi model
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 Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.
Responsibilities
• 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. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.
• 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. Experience in LLM testing frameworks such as TruLens will be an added advantage.
• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.
• 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)
• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions
• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs
Qualifications Required
• Doctoral or master’s 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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Twilio
Recruiter, R&D and Engineering
Twilio • India • via Startup Jobs
Full–time
No Degree Mentioned
Apply on Startup Jobs
Job description
See yourself at Twilio
Join the team as our next Recruiter, R&D and Engineering!
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
Twilio is looking for a multi-faceted individual that has specialized experience in hiring tech talent and has repeatedly delivered and demonstrated strong stakeholder management. This will be someone who lives the Twilio Magic and has demonstrated track record of balancing local and global work while supporting dynamic, fast-paced recruiting teams.
