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Senior Machine Learning Engineer

72% Flex
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelors or Masters degree in Computer Science, Engineering, Mathematics or related field, Experience with Google Cloud Platform and GenAI frameworks.

Key responsabilities:

  • Collaborate with client companies to identify data science solutions
  • Develop solution architectures, test models, and optimize business outcomes
  • Communicate complex insights clearly
  • Maintain an entrepreneurial spirit
Quantiphi logo
Quantiphi Information Technology & Services Large https://www.quantiphi.com/
1001 - 5000 Employees
See more Quantiphi offers

Job description

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Your missions

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!

Description:

  • You will work as Machine Learning Engineer and lend your skill set to solving tough business problems
  • Interface with client companies to understand their business pain points and identify where data science and analytics can be the solution
  • Develop high-level solution architectures and work with our offshore team to build, test, and assess models to predict and optimize business outcomes
  • Work closely with the offshore delivery manager to ensure a seamless delivery and communication cadence
  • Communicate complex concepts and insights in a clear and interpretable manner
  • Maintain an entrepreneurial spirit as you learn new ways to solve problems

Must have skills:

  • Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related field.
  • Good understanding and experience in developing applications using large language models (LLMs) on Google Cloud, with a preference for Langchain.
  • Hands-on technical experience implementing, and developing cloud ML solutions, preferably on Google Cloud Platform (Google Cloud Platform)
  • Experience with GenAI frameworks such as Vertex AI and other open-source platforms suitable for Google Cloud Platform environments
  • Hands-on experience fine-tuning large language models (LLMs) and Generative AI (GAI) models.
  • Hands-on experience with retrieval augmented generation (RAG) architecture and experience using vector indexing tools on Google Cloud Platform.
  • Strong familiarity with higher-level trends in LLMs and open-source platforms, particularly in the Google Cloud Platform ecosystem..
  • Response Quality: Collaborate with ML and Integration engineers to leverage LLM & pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. Thorough understanding of NLP techniques for text representation and modeling on Google Cloud Platform.
  • Ability to collaborate effectively with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

What is in it for you:

  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
  • Be a leader of an energetic team of highly dynamic and talented individuals
  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Effective Communication
  • Team Collaboration
  • Innovative Thinking

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