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Key Skills : Python , machine Learning, Deep Learning(Neural Networks, RNN, LSTM, Transformer) , Good Understanding of NLP, Transformer models and their internal architecture/working , TensorFlow / Keras/Pytorch
Reponsibility:
1. Research & develop business use cases where we can integrate LLM efficiently. 2. Conduct research to identify opportunities for integrating Large Language Models (LLMs) into various business use cases.
3. Stay up-to-date with the latest advancements in AI, machine learning, and natural language processing (NLP).
4. Experiment with cutting-edge AI technologies and algorithms to solve complex problems.
5. Collaborate with cross-functional teams to identify and implement opportunities for integrating LLMs into various business processes and applications.
6. Evaluate the performance of machine learning and deep learning models and fine-tune them for better accuracy and efficiency.
7. Implement best practices for model optimization and hyperparameter tuning. 8. Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward.
9. Discover and investigate open-source models that can be utilized for specific tasks, such as summarization and sentiment detection.
10. Proficiency in creating data pipelines.
Experience: 2-4 years
Additional skills:
Hands on experience with Generative Models (OpenAI / Open-source models). Hands on experience with LLM Frameworks like LangChain and Llama Index. Hands on experience in building applications and solutions using Large Language Models.
Must have expertise in Python Language.
Expertise in Prompt Engineering.
Good to have experience in LLM Fine tuning.
Good to have experience with Azure Cloud computing.
Skills Required
- Expertise in Python
- 2-4 years experience in machine learning or related field
- Machine learning and deep learning (Neural Networks, RNN, LSTM, Transformer)
- Good understanding of NLP and transformer model internals
- Experience with TensorFlow, Keras, or PyTorch
- Proficiency in creating data pipelines
- Experience with model optimization and hyperparameter tuning
- Hands-on experience with Generative Models (OpenAI or open-source)
- Hands-on experience with LLM frameworks (LangChain, LlamaIndex)
- Experience building applications/solutions using LLMs
- Expertise in Prompt Engineering
- Experience with LLM fine-tuning
- Experience with Azure cloud computing
What We Do
Trinity Life Sciences is a modern partner to companies in the life sciences industry with nearly 30 years of expertise. The firm combines strategy, insights, and analytics to help life science executives with clinical and commercial decision-making. Serving over 300 pharmaceutical, biotech, and medical device clients, Trinity helps them develop the right drugs and devices for today’s market and optimize them once in market.
