Associate Director - AI|ML Engineering Lead at Teachers Insurance and Annuity Association

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

0.0

Posted On

13 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, FastAPI, Docker, Kubernetes, Terraform, Generative AI, RAG, LLM Fine-tuning, Machine Learning, Deep Learning, Data Engineering, CI/CD, PostgreSQL, DynamoDB, LangGraph

Industry

Financial Services

Description

Manager - ML Engineer - IN The role leverage big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Key Responsibilities and Duties Machine learning engineers feed data into models defined by data scientists. They’re also responsible for taking theoretical data science models and helping scale them out to production-level models that can handle terabytes of real-time data. Educational Requirements University (Degree) Preferred Work Experience 5+ Years Required; 7+ Years Preferred Physical Requirements Physical Requirements: Sedentary Work Career Level 9PL Role Overview Lead a high-performing engineering team responsible for building distributed, scalable, and low-latency applications on AWS using Python. The role involves hands-on development, architecture design, and AI/ML integration—spanning the full SDLC, data management, and emerging Generative AI technologies. Key Responsibilities Application & Cloud Development Architect and build large-scale Python applications using frameworks such as containers, FastAPI, optimized for low latency and scalability. Design and manage cloud-native solutions leveraging AWS services (Lambda, Glue jobs, S3, SQS, SNS, DynamoDB, EKS, CloudFront, IAM etc.). Data Engineering & Management Design and maintain data ingestion and processing pipelines for structured and unstructured data. Work with relational (PostgreSQL, SQL Server) and non-relational (DynamoDB, MongoDB) databases, and data lakes. Collaborate with data and analytics teams to ensure data integrity, lineage, and availability. DevOps & SDLC Drive the full software development lifecycle including CI/CD automation, testing, container orchestration, and monitoring. Implement DevOps practices using Docker, Kubernetes, Terraform, GitHub Actions, or Jenkins. Ensure efficient, secure, and reproducible deployments across environments. AI, ML & GenAI Development Develop and deploy machine learning and deep learning models for business and analytical use cases. Build Generative AI solutions, including: RAG (Retrieval-Augmented Generation) pipelines Prompt engineering and LangGraph/agentic AI frameworks LLM fine-tuning, reinforcement training, and performance benchmarking Observability frameworks for model monitoring and traceability Collaborate with data scientists to move models from experimentation to production at scale. Governance, Security & Compliance Implement and enforce best practices for data governance, cybersecurity, and compliance. Apply IAM, encryption, and network security principles to protect sensitive data. Align all development and data processes with enterprise risk and regulatory standards. Related Skills Collaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling _____________________________________________________________________________________________________ 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, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's 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 Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because 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: (800) 842-2755 Email: accessibility.support@tiaa.org 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. For Applicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here. TIAA started out over 100 years ago to help ensure teachers could retire with dignity. Today, many people who work at not-for-profits rely on our wide range of financial products and services to support and strengthen their financial well-being. 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. For Applicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here. Nondiscrimination & Equal Opportunity Employment TIAA is committed to providing equal opportunity across all employment practices and we believe our employees have a right to a diverse and inclusive workplace. EEO is the Law Pay Transparency Philadelphia Ban the Box

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Lead an engineering team to build scalable, low-latency AI/ML applications and distributed systems on AWS. Responsibilities include designing data pipelines, deploying Generative AI solutions, and managing the full software development lifecycle.