C12-AVP-Data Scientist-Gen AI-Bangalore/Pune

AMRUTHAHALLI, NH 7,INTERNATION, India

Citi

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The Specialized Analytics Manager provides full leadership and supervisory responsibility. Provides operational/service leadership and direction to team(s). Applies in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. May contribute to the development of new techniques, models and plans within area of expertise. Excellent communication and diplomacy skills are required. Generally has responsibility for volume, quality, timeliness of end results and shared responsibility for planning and budgets. Work affects an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Full supervisory responsibility, ensuring motivation and development of team through professional leadership to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations as well as direction of daily tasks and responsibilities.

Responsibilities:

  • Design, Develop and deploy generative models (e.g., GPT, GAN, VAEs) for various applications.
  • RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements. 
  • Collaborate with cross-functional team to understand business requirements and translate them into AI solutions.
  • Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field.
  • Optimize and fine-tune models for performance, scalability, and robustness.
  • Implement and maintain AI pipelines and infrastructure to support model training and deployment. 
  • Perform data analysis and preprocessing to ensure high-quality input for model training.
  • Implement and maintain AI pipelines and infrastructure to support model training and deployment. - Perform data analysis and preprocessing to ensure high-quality input for model training.
  • Mentor junior team members and provide technical guidance. 
  • Write and maintain comprehensive documentation for models and algorithms.
  • Present findings and project progress to stakeholders and management. 
    Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
  • Incumbents in this role may often be referred to as Data Scientists
  • Specialization in marketing, risk, digital and AML fields possible
  • 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:

  • Bachelor’s or Master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus. 
  • 8 - 12 years of experience in machine learning and deep learning, with a focus on generative models.
  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. 
  • Experience with natural language processing (NLP) and natural language generation (NLG).
  •  Proven track record of building and deploying generative models in production environments particularly using RAG frameworks.
  • Solid understanding of machine learning algorithms, data structures, and software engineering principles. 
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders

Preferred Skills –

  • Experience with cloud platforms such as AWS, Google Cloud, or Azure. - Knowledge of reinforcement learning and its applications in generative AI.
  • Familiarity with MLOps practices and tools.
  • Contributions to open-source projects or published research in top-tier conferences/journals

Education:

  • Bachelors/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.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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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 💰

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Tags: AWS Azure Computer Science Data analysis Deep Learning Engineering GCP Generative AI Generative modeling Google Cloud GPT Keras Machine Learning MLOps Model training NLG NLP Open Source Pipelines Python PyTorch RAG Reinforcement Learning Research SQL Statistics TensorFlow

Perks/benefits: Career development Conferences

Region: Asia/Pacific
Country: India

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