Hybrid Associate Architect – Machine Learning

at Quantiphi

• Job title: Associate Architect – Machine Learning
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Numpy, Pandas, Python, PyTorch, SDLC, Tensorflow
• Location requirements: Hybrid, Bengaluru, India

About the role

• Associate Architect - Machine Learning role at Quantiphi focusing on AI systems development and optimization. Collaborating with teams to innovate and deliver cutting-edge AI solutions.

Responsibilities

• Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes
• 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.
• Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements.
• Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
• Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
• 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.
• Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
• Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Requirements

• 6 to 9 years of work experience in machine learning and AI engineering.
• Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.
• Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
• Strong experience in prompt engineering to optimize AI models performance.
• Technical Skills - Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
• Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
• Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
• Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
• Familiarity with SDLC life cycle, data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).

Benefits

• Competitive salary
• Flexible working hours
• Professional development opportunities