Senior Associate AI | ML Engineer

TIAA

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profile Job Location:

Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Job Summary

AI Platform Lead Engineer-IN
The AI Platform Lead Engineer builds and maintains the systems that support AI and machine learning applications working to ensure the systems are scalable efficient and reliable.

Key Responsibilities and Duties
  • Deploy manage and scale AI systems as well as support model activity and deployment infrastructure in cloud environments
  • Work with infrastructure and application development teams data engineers and model owners to better integrate the AI applications into mainstream enterprise applications.
  • Put into production the ML models keeping in mind the scalability optimization resource availability and security for the AI solution.
Educational Requirements
  • University (Degree) Preferred
Work Experience
  • 5 Years Required; 7 Years Preferred
Physical Requirements
  • Physical Requirements: Sedentary Work

Career Level
8IC

Generative AI Development

  • Design and implement Generative AI solutions including:
    • RAG (Retrieval-Augmented Generation) pipelines: Build end-to-end systems integrating vector databases (e.g. Pinecone Weaviate FAISS) embedding models and LLMs to enable context-aware knowledge-grounded responses
    • Prompt engineering and optimization: Develop robust prompting strategies templates and workflows that maximize LLM performance accuracy and consistency
    • LLM fine-tuning and reinforcement learning: Customize foundation models using supervised fine-tuning (SFT) reinforcement learning from human feedback (RLHF) or parameter-efficient methods (LoRA QLoRA) to improve performance for domain-specific tasks
    • Model evaluation and benchmarking: Establish rigorous evaluation frameworks to measure model accuracy latency cost hallucination rates and task-specific performance metrics; conduct A/B testing and comparative analysis across models and configurations
    • Observability and monitoring: Implement comprehensive logging tracing and alerting systems to track model behavior prompt-response patterns token usage errors and drift in production environments
  • Build production-grade AI agents using both low-code platforms and high-code custom implementations optimizing flexibility performance and maintainability
  • Integrate diverse AI/ML capabilities including natural language processing (NLP) computer vision document intelligence and traditional machine learning models as needed to solve complex business problems
  • Stay current with the rapidly evolving AI landscape evaluating and adopting new models techniques and tools to continuously enhance solution capabilities and maintain competitive advantage

    Generative AI Development

  • Design and implement Generative AI solutions including:
    • RAG (Retrieval-Augmented Generation) pipelines: Build end-to-end systems integrating vector databases (e.g. Pinecone Weaviate FAISS) embedding models and LLMs to enable context-aware knowledge-grounded responses
    • Prompt engineering and optimization: Develop robust prompting strategies templates and workflows that maximize LLM performance accuracy and consistency
    • LLM fine-tuning and reinforcement learning: Customize foundation models using supervised fine-tuning (SFT) reinforcement learning from human feedback (RLHF) or parameter-efficient methods (LoRA QLoRA) to improve performance for domain-specific tasks
    • Model evaluation and benchmarking: Establish rigorous evaluation frameworks to measure model accuracy latency cost hallucination rates and task-specific performance metrics; conduct A/B testing and comparative analysis across models and configurations
    • Observability and monitoring: Implement comprehensive logging tracing and alerting systems to track model behavior prompt-response patterns token usage errors and drift in production environments
  • Build production-grade AI agents using both low-code platforms and high-code custom implementations optimizing flexibility performance and maintainability
  • Integrate diverse AI/ML capabilities including natural language processing (NLP) computer vision document intelligence and traditional machine learning models as needed to solve complex business problems
  • Stay current with the rapidly evolving AI landscape evaluating and adopting new models techniques and tools to continuously enhance solution capabilities and maintain competitive advantage

Related Skills

Business Acumen Data Preprocessing Data Science Innovation Machine Learning (ML) Market/Industry Dynamics Predictive Modeling Programming Statistics

Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent reduce risk by insourcing key platforms and processes as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization with a focus on technology operations and expanding into the shared services business space.


Working closely with our U.S. colleagues and other partners our goal is to reduce risk improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age race color national origin sex religion veteran status disability sexual orientation gender identity or any other legally protected status.

Our Culture of Impact

At TIAA were on a mission to build on our 100 year legacy of delivering for our clients while evolving to meet tomorrows challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People Be Client Obsessed Lead with Integrity Own It and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveens entrepreneurial spirit where we work hard and work together to create lasting impact. Here every associate can grow through meaningful learning experiences and development pathwaysbecause when our people succeed our impact on clients lives grows stronger.

Accessibility Support

TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers including individuals with disabilities.

If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:

Phone:

Email:

Privacy Notices

For Applicants of TIAA Nuveen and Affiliates residing in US (other than California) click here.

For Applicants of TIAA Nuveen and Affiliates residing in California please click here.

ForApplicants of TIAA Global Capabilities click here.

For Applicants of Nuveen residing in Europe and APAC please click here.


Required Experience:

Senior IC

AI Platform Lead Engineer-INThe AI Platform Lead Engineer builds and maintains the systems that support AI and machine learning applications working to ensure the systems are scalable efficient and reliable.Key Responsibilities and DutiesDeploy manage and scale AI systems as well as support model ac...
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Key Skills

  • Laboratory Experience
  • Electrical Engineering
  • GIS
  • Raspberry Pi
  • System Design
  • C/C++
  • CAD
  • Matlab
  • Mechanical Engineering
  • Autocad
  • Microsoft Project
  • Catia

About Company

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We joined forces with The Council of Graduate Schools to conduct research on the financial education of students. Visit www.studentfinancialsuccess.org to learn about the eye-opening facts that we uncovered and strategies that leading universities used to develop impactful programs to ... View more

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