Senior Machine Learning Engineer

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Quantiphi

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
PyTorch TensorFlow

Job Description

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

  • Work with development teams and product managers to ideate development solutions.
  • Understand the client-side/business needs and form appropriate user stories while converting them to technical features of the solution.
  • Contribute Building the end-to-end production grade ML applications.
  • Develop and manage well-functioning LLM/GenAI/ML/DL/NLP models and processes.
  • Write effective training and inference pipelines.
  • Test software/application to ensure responsiveness and efficiency.
  • Troubleshoot, debug and upgrade application.
  • Ideate and implement solutions to drive business impact through AI and cloud.
  • Build efficient applications in performance and computation.

Skills Required

  • 3 to 6 years of proven experience as a Machine Learning Engineer or similar role.
  • Experience developing GenAI/LLM/ML/AI/DL applications.
  • Strong technical and theoretical knowledge of AI/AL (Transformers, Distributed Training, Large Language Models) and open source models like Llama, Mistral etc.
  • Familiarity with common stacks.
  • Knowledge of multiple Deep Learning Framework and technologies (e.g. tensorflow, pytorch, Sklearn etc.)
  • Knowledge of NLP models such as BERT, GPT family, Transformers, etc.
  • Experience developing production ready ML/AI solutions.
  • Excellent communication and teamwork skills.
  • Great attention to detail.

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

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