Applied AI ML Senior Associate - Enterprise Technology

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 SeniorAssociate 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