While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role : Senior Machine Learning Engineer
Experience Level : 3 to 6 years
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:
- 3 to 5 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.
etc.) and version control (e.g., Git).
supervision.
deployment.
