Senior Machine Learning Engineer

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

Exp: 4 -7Years

Location : Mumbai / Bangalore

• 4+ years of experience

• Hands on experience in Python

• Familiarity with enterprise software development practices, including version control, testing, and deployment

• In-depth understanding of state-of-the-art language models, such as GPT-3, BERT, or similar architectures.

• Hands-on experience with large language models, prompt engineering, and fine-tuning techniques

• Experience with data preprocessing, feature engineering, and model evaluation.

• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, Pytorch, or Hugging Face Transformers.

• Work closely with our customer, product, business, engineering and research teams.

• Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows.

• Design and implement RAG-based workflows to enhance content generation and information

• Experience working with Firebase, AlloyDB, Pinecone and vector databases. 

• Design the core architecture of LLM agents, including the agent core, planning module, memory management, and integration with external tools and APIs

• Develop prompting strategies and fine-tune large language models to serve as the "brain" of the agent

• Integrate agents with external tools, databases, and APIs to provide access to necessary information and functionality

• Proven track record of successfully deploying and optimizing LLM models for inference in production environments.

• Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

• Familiarity with containerisation technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.

• Experience with GCP services like Vertex AI, BigQuery, Cloud Storage, Cloud run, Cloud Scheduler, Cloud function, Artifact registry, Load balancer and Secret manager

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!