Quantiphi - Technical Architect - Machine Learning Solutions

Roles & 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.

Required Skills & Qualifications :

Experience :

- 8 to 12 years of hands-on 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).

Soft Skills :

- Strong problem-solving and analytical skills.

- Excellent communication and teamwork abilities to collaborate with stakeholders.

- Ability to work independently and drive projects to completion with minimal supervision.

Preferred Qualifications :

- Experience in deploying AI models at scale in production environments.

- Expertise in large-scale data processing, optimization techniques, and model deployment