TL
Full time
🤖 AI / ML
Associate Data Scientist, Machine Learning at Trinity Life Sciences
Listed by DevShelfHub
Bangalore, India
Hybrid
Mid-level · 2–4 yrs
About the Role
Life sciences commercialization is being transformed by the fusion of human expertise and artificial intelligence. Trinity Life Sciences is hiring an Associate Data Scientist in Machine Learning in Bangalore to research and integrate LLMs into business use cases across pharmaceutical and biotech clients.
What you'll do
- Research and develop business use cases where LLMs can be integrated efficiently
- Conduct research to identify opportunities for integrating LLMs into business use cases
- Stay up-to-date with latest advancements in AI, machine learning, and NLP
- Experiment with cutting-edge AI technologies and algorithms to solve complex problems
- Collaborate with cross-functional teams to implement LLMs into business processes and applications
- Evaluate performance of ML and deep learning models and fine-tune for better accuracy
- Implement best practices for model optimization and hyperparameter tuning
- Collaborate with data scientists, engineers, product managers, and stakeholders
- Discover and investigate open-source models for summarization and sentiment detection
- Build proficiency in creating data pipelines
What we're looking for
- 2–4 years of experience
- Python, Machine Learning, Deep Learning (Neural Networks, RNN, LSTM, Transformer)
- Good understanding of NLP, Transformer models and their internal architecture
- TensorFlow / Keras / PyTorch
Skills & Technologies
Required
2–4 years of experience
Python, Machine Learning, Deep Learning (Neural Networks, RNN, LSTM, Transformer)
Good understanding of NLP, Transformer models and their internal architecture
TensorFlow / Keras / PyTorch
Hands-on experience with Generative Models (OpenAI / open-source models)
Hands-on experience with LLM Frameworks like LangChain and Llama Index
Hands-on experience building applications and solutions using Large Language Models
Expertise in Python and Prompt Engineering
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers hands-on experience integrating LLMs into life sciences business processes with exposure to Generative Models, prompt engineering, and open-source model evaluation.
- Research and develop business use cases for efficient LLM integration
- Stay up-to-date with latest advancements in AI, ML, and NLP
- Experiment with cutting-edge AI technologies and algorithms
- Collaborate with cross-functional teams on LLM integration into business processes
- Evaluate and fine-tune ML and deep learning models for accuracy and efficiency
- Discover and investigate open-source models for summarization and sentiment detection
- Build proficiency in data pipelines
- Hands-on with Generative Models (OpenAI / open-source models)
- Experience with LangChain and Llama Index frameworks
- Exposure to Azure Cloud computing and LLM fine-tuning
About Trinity Life Sciences
Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. For more than 30 years, the world's leading pharmaceutical, biotech, and medtech companies have relied on Trinity for confident product launches and decisive market advantage. With 1,300 professionals across 14 offices and five continents, Trinity sets industry standards in quality, responsiveness, and client partnership.
- Industry
- Technology
- Company Size
- 500+
- Website
- trinitylifesciences.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 2–4 years
- Location
- Bangalore, India
- Work Mode
- Hybrid
- Category
- AI / ML
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