Machine Learning Engineering
Quantiphi
Machine Learning Engineering at Quantiphi is a full time role based in IN KA Bengaluru, India. It was published on 7 July 2026 and was open at last check.
| Role | Machine Learning Engineering |
|---|---|
| Company | Quantiphi |
| Location | IN KA Bengaluru, India |
| Employment type | Full Time |
| Published | 7 July 2026 |
| Status | Open at last check |
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: Machine Learning Engineer
Experience Level: 3 to 12 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.
○ 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Create your free OnJob profile to apply — we'll take you to Quantiphi's application after sign-up. · Posted 7 Jul 2026.
Machine Learning Engineering at Quantiphi — questions answered
What does the Machine Learning Engineering role at Quantiphi pay?
Quantiphi does not publish a salary on this Machine Learning Engineering listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Machine Learning Engineering role at Quantiphi based?
Quantiphi lists this Machine Learning Engineering role in IN KA Bengaluru, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Quantiphi before you apply.
Is the Machine Learning Engineering role at Quantiphi still open?
The Machine Learning Engineering posting at Quantiphi was open at OnJob's last check of the employer's careers page, having been published on 7 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Machine Learning Engineering role at Quantiphi?
Apply to the Machine Learning Engineering at Quantiphi role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Quantiphi's own application page. Creating a profile is free and needs no card.
Related Data & AI jobs
Hand-picked roles that match this listing on skills, category and location — each scored to your profile inside OnJob.
Explore more on OnJob
Hiring for a role like this?
Post a job on OnJob and reach AI-matched candidates.