Trinitylifesciences is hiring for the Associate Data Scientist, AI Engineering role in Bangalore. The position involves building machine learning and GenAI solutions, including LLM-based applications for summarisation, sentiment analysis and content generation. You will also work on data pipelines, model optimisation and AI integration with cross-functional business teams. The role is worth considering for its exposure to practical AI work in the life sciences commercialisation sector, including technologies such as LangChain and LlamaIndex.
Company Overview
Trinitylifesciences works with pharmaceutical, biotech and medtech companies on life sciences commercialisation, supporting activities from pre-launch to product scale and loss of exclusivity. The company combines therapeutic expertise, consulting capabilities and a technology platform to help clients make decisions around product launches and market strategy.
Trinity has operated for more than 30 years and has grown from its first office in Waltham, Massachusetts, to around 1,300 professionals across 14 offices and five continents. Experience with its AI and technology teams can add relevant exposure for candidates building careers in applied machine learning and healthcare technology.
| Company Name | Trinitylifesciences |
| Job Role | Associate Data Scientist, AI Engineering |
| Job Location | Bangalore |
| Employment Type | Full Time |
| Category | Off-Campus |
Role Overview
This is an AI engineering role focused on taking machine learning and generative AI concepts into usable business applications. The Associate Data Scientist will contribute across model development, experimentation, deployment and the supporting data workflows.
- Work on predictive modelling, generative AI applications and natural language processing use cases.
- Support AI adoption in business processes used in life sciences commercialisation.
- Research current AI frameworks and improve the reliability and performance of deployed solutions.
Eligibility & Qualifications
- Candidates should be prepared to work on machine learning models covering regression, classification, clustering and optimisation.
- The role requires the ability to build or contribute to GenAI applications using large language models.
- Applicants should be comfortable working with data pipelines, model performance and AI or NLP-related technologies.
Key Responsibilities
- Design and implement machine learning models for regression, classification, clustering and optimisation problems.
- Build and deploy GenAI applications using LLMs for summarisation, sentiment analysis and content generation.
- Collaborate with cross-functional teams to identify suitable opportunities for AI integration into business processes.
- Research emerging GenAI technologies and frameworks, including LangChain and LlamaIndex.
- Fine-tune models and optimise them for performance, scalability and accuracy.
- Develop and maintain robust data pipelines and workflows that support AI and machine learning applications.
- Track developments in artificial intelligence, machine learning and natural language processing.
Skills Required
- Machine learning techniques including regression, classification, clustering and optimisation algorithms.
- Generative AI and large language model application development.
- Natural language processing use cases such as summarisation, sentiment analysis and content generation.
- Familiarity with GenAI frameworks such as LangChain and LlamaIndex.
- Model fine-tuning, performance optimisation, scalability and accuracy improvement.
- Data pipeline and workflow development.
- Research skills for evaluating emerging AI technologies and frameworks.
- Cross-functional collaboration and the ability to identify practical AI applications for business processes.
Why Join Trinitylifesciences
The role offers hands-on exposure to machine learning, GenAI, LLMs and NLP in a business environment connected to pharmaceutical, biotech and medtech companies. Trinity also highlights early talent learning and development, while its international scale provides context on how AI solutions can support commercialisation work across multiple markets.
How to Apply for Trinitylifesciences Off Campus Drive 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
