Associate Architect - Machine Learning

Role : Associate Architect - Machine Learning (Gen AI)

Experience : 6 to 8 Years

Location : Bangalore / Mumbai (Hybrid)

Job Summary :

We are looking for an experienced Associate Architect - Machine Learning to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention.

Roles and Responsibilities :

• Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes
• LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency.
• Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements.
• AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
• Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
• Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology.
• Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
• Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Skill Set Required : Experience :

Technical Skills :

Soft Skills :

Preferred Skills & Qualifications :