Associate Data Scientist, Machine Learning
At a glance
Junior AI Research role at Trinity. Bangalore · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Research where large language models could help business workflows, then work with other teams to put suitable uses into practice
- Test current AI methods against complex problems and keep your knowledge of machine learning and language processing current
- Assess machine learning and deep learning models, then tune them to improve accuracy and efficiency
- Optimize models through sound practices and parameter tuning; investigate open-source options for summarization and sentiment detection
- Build data pipelines and work with data scientists, engineers and product managers to advance AI projects
What you bring
- You have two to four years of experience and strong Python skills
- You understand neural networks, deep learning and language models, including how transformer architectures work
- You have hands-on experience building applications with generative models and large language models
- You can create data pipelines and use prompt engineering effectively
Who this fits
This junior role suits someone with practical experience developing LLM applications and evaluating or tuning machine learning models. The position is based in Bangalore, India.
From the employer
We're committed to bringing passion and customer focus to the business.
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.