Data Science
PythonRole: Data Scientist
Location: Bangalore (Remote)
Experience: 4 - 15 years
Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain
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
Shubham Vishwakarma
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About LambdaTest
We are the only cloud-based testing platform aimed at bringing the whole testing ecosystem to cloud. Today we have a powerful cloud network of 2000+ real browsers and operating systems that helps testers in cross-browser and cross platform compatibility testing.
Our Mission
On a mission to provide the most powerful, cutting-edge, comprehensive, and secure cloud test platform to empower software testers & developers globally to perform testing intelligently at scale.
Our Vision
We envision an integrated platform where professionals can rely to perform and manage all types of tests without being limited by infrastructure dependency. So people could focus on things that matter the most, i.e. their tests.
About the Team
We are a dynamic team that works in a fast-paced environment, ambitious to make a huge impact. Aligned with the company’s vision and strategy, the cross-functional teams work closely to build cutting-edge SaaS products that enable software developers & testers globally to perform testing intelligently at scale. Default to transparency, we share stories of our successes, failures, challenges, and interests so that we can learn from and support one another.
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Collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products
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Have prior experience building or using developer products Strong hold on basic tech concepts. Willingness to learn advanced concepts.
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Follow CutshortShubham Vishwakarma
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