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2 Weeks ago

Senior Machine Learning Engineer

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Bangalore, Karnataka, India
Information Technology
Full-Time
Quantiphi

Overview

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.

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