Applied AI ML Senior Associate
This senior AI engineer role focuses on designing and deploying production-grade LLM-powered systems at scale, blending deep NLP expertise with cloud-based infrastructure to solve high-impact enterprise challenges. The position demands hands-on experience in model optimization, system reliability, and cross-functional collaboration to drive innovation in financial technology.
Skills required
About this role
We 're seeking top talents for our AI engineering team to build and scale AI/ML solutions using LLMs, cloud platforms, and modern agentic frameworks for enterprise innovation. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. Come join us in reshaping the future!
As a Applied AI ML Senior Associate within Enterprise Technology team, you will be responsible to design, build and productionize ML and LLM powered systems that operate at scale across high-volume streams. You will work at the intersection of modeling, NLP and transformer architectures. This is a hands-on senior role requiring deep expertise in applied NLP, LLM integration, scalable ML systems and production grade engineering discipline.
This role offers a chance to collaborate with product managers, architects, data science and operational teams, while also engaging in software engineering communities to explore new and emerging technologies.
Job responsibilities
- Design, develop, and troubleshoot scalable software solutions, applying creative and innovative approaches to solve complex technical challenges
- Write secure, high-quality, production-ready code and maintain algorithms that integrate seamlessly with enterprise systems
- Develop architecture and design artifacts for complex applications, ensuring adherence to design constraints and best practices throughout the SDLC
- Build and deploy AI/ML solutions and agentic systems for LLM platforms using modern cloud architectures (Azure, AWS)
- Bake in augmentation mechanisms leveraging legacy regular expressions for filtering and optimization
- Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
- Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
- Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
Required qualifications, capabilities, and skills
- Graduate or Post Graduate degree in Computer Science or equivalent experience with 8+ years of experience in build innovative AI/ML solutions
- Strong foundation in Information Retrieval, Natural Language Processing
- Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers
- Operational experience in supporting an enterprise grade ML application in production
- Experience with any of the MLOps frameworks such MLflow, Kubeflow
- Implement cutting-edge GenAI services leveraging Azure OpenAI models and AWS Bedrock
- Proficiency working with LLMs, creating agents with LangGraph
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages. Experience with containerization.
- Strong understanding of the Software Development Life Cycle
- Proficiency in Python (FastAPI), Microservices, APIs, elastic compute, nosql databases, messaging queues
- Strong knowledge of CI/CD pipelines, application resiliency, and security best practices
Preferred qualifications, capabilities, and skills
- Knowledge of Databricks is nice to have
- Familiarity with cloud platforms (Azure/AWS) and modern databases (NoSQL)
- Experience building, debugging, and maintaining large-scale enterprise applications