Officer-AI Data Engineer-C11-Hybrid-Pune
TOWER B, EON FREE ZONE II, India
Citi
Citi is a leading global bank for institutions with cross-border needs, a global provider in wealth management and a U.S. personal bank.At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business
Shape your Career with Citi
We’re currently looking for a high caliber professional to join our team as Officer, AI Data Engineer Hybrid (Internal Job Title: 25827973 AI Data Engineer C11) based in Pune, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial wellbeing to help plan for your future. For instance:
We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
We empower our employees to manage their financial well-being and help them plan for the future.
We provide access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
In this role, you’re expected to:
Develop Code, test, document and release stories as part of development team.
Reviewing code work for accuracy and functionality.
Apply fundamental knowledge of programming languages for design specifications
Work closely with Program Management and Quality Control teams to deliver quality software to agreed project schedules.
Proactively notify Tech Lead and Scrum master about risks, bottlenecks, problems, issues, and concerns.
Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
As a successful candidate, you’d ideally have the following skills and exposure:
4-8 Yrs years of experience in full-stack development
Experience in working with data pipelines, data warehouses, data lakes, and data quality tooling.
Proficiency in: SQL & Python coding.
Experience in working with RESTful APIs and microservices.
Knowledge of AI and machine learning concepts, frameworks and tools, such as TensorFlow, PyTorch, Scikit-learn, Deep learning, LLM, Embeddings, Google Vertex, Amazon SageMaker
Experience in building and deploying scalable and robust AI solutions, , C/C#, using best practices such as MLOps, LLM Ops, CI/CD, testing, monitoring, etc.
Experience in working with distributed computing, such as Spark, Hadoop, Kafka, etc.
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Take the next step in your career, apply for this role at Citi today
https://jobs.citi.com/dei
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Banking CI/CD Data pipelines Data quality Deep Learning Hadoop Kafka LLMOps LLMs Machine Learning Microservices MLOps Pipelines Python PyTorch SageMaker Scikit-learn Scrum Security Spark SQL TensorFlow Testing Vertex AI
Perks/benefits: Career development
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