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
Experience Level: 3 to 6 years
Location: Mumbai / Bangalore (hybrid)
Role & 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.

Skills Required:

• 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 Skills & Qualifications:

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

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