Citi Group AI/ML Engineer - C11 yrs Chennai 

India, Tamil Nadu, Chennai 

441227612

Responsibilities:

• Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools andanalyzing/interpretingcode
• Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
• Apply fundamental knowledge of programming languages for design specifications.
• Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
• Serve as advisor or coach to new or lower level analysts
• Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
• Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and /or other team members.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 5-9 years of experience with Python, Machine Learning & exposure to Gen AI. Knowledge on Java will be added advantage.
• Proficiency in coding Python in building Machine Learning and developing LLM based application in a professional environment.
• Knowledge in Kofax will be a plus
• SQL skills able to perform data interrogations is must
• Professional experience developing Java applications
• Develop LLM solutions for querying structured data with natural language, including RAG architectures on enterprise knowledge bases.
• Build, scale, and optimize data science workloads, applying best MLOps practices for production.
• Lead the design and development of LLM-based tools to increase data accessibility, focusing on text-to-SQL platforms.
• Train and fine-tune LLM models to accurately interpret natural language queries and generate SQL queries.
• Experience working and architecting solutions on Big Data technologies
• Working experience in Microservices/Kubernetes
• Good knowledge on no-SQL DB likeRedis,Couchbase,HBaseetc
• Experience working and architecting solutions on Big Data technologies
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
• Stay updated with advancements in AI and NLP to incorporate best practices and new technologies.

Education:

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type: