Data Scientist-i
1 week ago
The Purpose of the role
**Location: Bangalore, India
Responsibilities
- Develop, refine, finetune and maintain large language models.
- Develop and improve Generative AI systems to enable high quality decision making, to refine answers for queries, and to enhance automated communication capabilities.
- Own the entire process of data collection, training, and deploying machine learning models.
- Continuous research and implementation of cuttingedge techniques in deep learning, NLP and Generative AI to build stateoftheart models.
- Work closely with Data Scientists and other Machine Learning Engineers to design and implement endtoend solutions.
- Optimize and streamline deep learning training pipelines. Develop performance metrics to track the efficiency and accuracy of deep learning models.
Required knowledge, Skills and qualifications:
- Minimum of 3 years of industry experience in developing deep learning models with a focus on NLP and Generative AI.
- Expertise in deep learning frameworks such as Tensorflow, PyTorch and Keras.
- Experience working with cloudbased services such as Azure for training and deployment of deep learning models.
- Experience with Hugging Face's Transformer libraries.
- Expertise in developing and scaling Generative AI systems.
- Experience in large dataset processing, including preprocessing, cleaning and normalization.
- Proficient in programming languages such as Python and C++.
- Experience with natural language processing (NLP) techniques and libraries. Excellent analytical and problemsolving skills.
Why Chubb Business Services India?
Here are some reasons to join us:
- You will be joining a group of diverse and driven professionals trained to succeed in today's insurance landscape.
- We provide the opportunity to cultivate a robust career; we accommodate your growth and development even as we expect you to make meaningful contributions to our company.
- We offer competitive compensation and benefit programs. We pride ourselves in being a meritocracy that rewards the best talent.
- We seek to create an inclusive environment where employees of different cultures and backgrounds can thrive.
Our company and culture
Chubb Business Services India focuses on building strong capability in the areas related to technology, CAT modeling, risk management, actuarial services and advanced analytics.
The culture we would like to establish would align with the core principles of the organization as outlined below with the desire to transform and grow together.
Our culture reflects a commitment to craftsmanship and as craftspeople, we adhere to certain ideals:- A
Can-Do Attitude - we are optimistic about our future and we have an enthusiasm to serve our customers and business partners with utmost speed and energy. We approach our work with passion
- people want to live their lives with meaning. We have a shared vision to build something great
- to serve society and leave the world a little better place because we've been here.
Excellence in All We Do - we hold ourselves to exacting standards of technical proficiency. Customers can count on us to pay claims fairly and quickly. Agents and brokers can rely on us for attention to detail and help them build their businesses
-
Constant Improvement - we are a learning organization. We are constantly searching for ways to improve our craft. We relentlessly pursue data-driven insights to drive better, smarter decision-making - our portfolio management efforts, for example.
The Purpose of the role
**Location: Bangalore, India
Responsibilities
- Develop, refine, finetune and maintain large language models.
- Develop and improve Generative AI systems to enable high quality decision making, to refine answers for queries, and to enhance automated communication capabilities.
- Own the entire process of data collection, training, and deploying machine learning models.
- Continuous research and implementation of cuttingedge techniques in deep learning, NLP and Generative AI to build stateoftheart models.
- Work closely with Data Scientists and other Machine Learning Engineers to design and implement endtoend solutions.
- Optimize and streamline deep learning training pipelines. Develop performance metrics to track the efficiency and accuracy of deep learning models.
Required knowledge, Skills and qualifications:
- Minimum of 3 years of industry experience in developing deep learning models with a focus on NLP and Generative AI.
- Expertise in deep learning frameworks such as Tensorflow, PyTorch and Keras.
- Experience working with cloudbased services such as Azure for training and deployment of deep learning models.
- Experience with Hugging Face's Transformer libraries.
- Expertise in developing and scaling Generative AI systems.
- Experience in large dataset processing, including preprocessing, cleaning and normalization.
- Proficient in programming languages such as Python a
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