Senior Associate - AI - ML Engineer
Teachers Insurance and Annuity Association of America (TIAA)1 day ago
Pune, IndiaStaff+
Responsibilities
- Design and implement scalable, reliable, production-ready Generative AI solutions.
- Build and maintain RAG pipelines using vector databases, embedding models, and large language models.
- Develop prompting strategies, templates, and workflows to improve LLM accuracy, consistency, and performance.
- Customize and fine-tune foundation models using SFT, RLHF, LoRA, and QLoRA.
- Establish model evaluation frameworks covering accuracy, latency, cost efficiency, hallucination rates, benchmarking, and A/B testing.
- Implement production observability, logging, tracing, alerting, and monitoring for model behavior and performance drift.
- Design and deploy production-grade AI agents using low-code and custom high-code implementations.
- Integrate NLP, computer vision, document intelligence, speech processing, and traditional machine learning capabilities into multimodal solutions.
- Research and adopt emerging AI models, frameworks, and tools.
- Collaborate with product, engineering, and business stakeholders to translate requirements into scalable AI architectures.
- Develop reusable components, best practices, and internal standards for Generative AI and responsible AI development.
- Deploy, manage, and scale AI systems and ML models in cloud environments while optimizing resources, reliability, scalability, and security.
Requirements
- A university degree is preferred.
- At least 5 years of work experience is required; 7 or more years is preferred, and the posting also states total required experience of 9 to 15 years.
- Hands-on experience building and deploying Generative AI solutions, including RAG pipelines, prompt engineering, and LLM fine-tuning.
- Strong Python proficiency and experience with LLM APIs such as OpenAI, Anthropic, and Hugging Face.
- Experience with vector databases such as Pinecone, Weaviate, or FAISS.
- Understanding of model evaluation, benchmarking, A/B testing, hallucination detection, and production performance monitoring.
- Experience with SFT, RLHF, LoRA, QLoRA, and parameter-efficient training approaches.
- Ability to design and deploy production-grade AI systems with robust observability, logging, and monitoring.
- Exposure to multimodal AI, including computer vision, document intelligence, or speech processing, is preferred.
- Familiarity with low-code AI agent platforms and custom high-code agent implementations is preferred.
- Experience with AWS, Azure, or GCP and managed AI/ML services is preferred.
- Knowledge of responsible AI principles, bias detection, fairness evaluation, and compliance considerations is preferred.
- Familiarity with MLOps tools such as MLflow or Weights & Biases is preferred.
Benefits
- The role is located in Mumbai or Pune.
- The company describes a collaborative in-office work environment.
- TIAA offers accessibility support for applicants who need assistance with the online application process.
Tech Stack
Categories
About Teachers Insurance and Annuity Association of America (TIAA)
TIAA is a privately held, not-for-profit financial services organization providing retirement plans, annuities, IRAs, mutual funds, life insurance, 529 plans, and brokerage services to employees and institutions in education, healthcare, and the nonprofit sector. Founded in 1918 and headquartered in New York, it also offers investment management through its Nuveen subsidiary. Its revenue comes from fees on asset management, insurance, and brokerage services.