Gen AI Analyst at Citi

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Development, Data Preparation, RAG Frameworks, Research and Experimentation, Performance Optimization, Collaborative Projects, Documentation, Programming Skills, Mathematics and Statistics, NLP Knowledge, Problem-Solving Skills, Teamwork, Curiosity and Learning

Industry

Financial Services

Description

Develops working knowledge of industry practices and standards. Key Responsibilities - Model Development: Assist in the development, fine-tuning, and deployment of generative AI and large language models based solutions Data Preparation: Clean, preprocess, and organize large datasets for training and evaluation purposes. RAG Frameworks - Customize and fine-tune existing / new RAG frameworks to meet project requirements. Research and Experimentation: Conduct experiments to test and validate model performance and keep up to date with the latest advancements in the field of AI and NLP. Performance Optimization: Implement techniques to improve model efficiency, accuracy, and scalability. Collaborative Projects: Work with cross-functional teams to integrate AI models into various applications and services. Documentation: Maintain clear and comprehensive documentation of model architectures, processes, and findings 2-4 years relevant experience in data science and GenAI solutions Bachelor's degree in computer science, Data Science, Electrical Engineering, or a related field. A master's degree is a plus. Programming Skills: Proficiency in programming languages such as Python, and familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Mathematics and Statistics: Strong understanding of fundamental concepts in mathematics and statistics, including linear algebra, calculus, and probability. NLP Knowledge: Basic knowledge of natural language processing techniques and concepts, such as tokenization, embeddings, and sequence models. Problem-Solving Skills: Ability to analyze complex problems, develop innovative solutions, and effectively communicate findings. Teamwork: Strong collaborative skills and a willingness to work in a dynamic team environment. Curiosity and Learning: Eagerness to learn and stay current with the latest research and trends in generative AI and LLMs. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

The Gen AI Analyst will assist in developing, fine-tuning, and deploying generative AI solutions while preparing and organizing datasets for training. They will also conduct experiments to validate model performance and collaborate with cross-functional teams.