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Machine Learning Systems Architect Job Opening In Bengaluru – Now Hiring Quantiphi


Job description

Role : Associate Architect - Machine Learning (Gen AI)

Experience : 6 to 8 Years

Location : Bangalore / Mumbai (Hybrid)


Job Summary:

We are looking for an experienced Associate Architect - Machine Learning to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques.

The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention.


Roles and 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.


Skill Set Required:


Experience:

  • Minimum 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.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Bengaluru, India, highlighting market share and opportunities for professionals in Machine Learning roles.

18638 Jobs in India
18638
1475 Jobs in Bengaluru
1475
Download Machine Learning Jobs Trends in Bengaluru and India

Are You Looking for Machine Learning Systems Architect Job?

Great news! is currently hiring and seeking a Machine Learning Systems Architect to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Quantiphi adheres to the cultural norms as outlined by Expertini.

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Quantiphi interview tips for Machine Learning Systems Architect

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Before the Interview:

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Other Openings

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