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Associate Architect - Machine Learning

On-site
QuantiphiIN MH Mumbai Eureka2 weeks agoWebsite
Fresh
Full-time
Entry / Junior

Compensation

Salary undisclosed
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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: Associate Architect Machine Learning Engineer

Experience Level: 6+ Years 

Work location: Bangalore/Mumbai/ Trivandrum

Role &Responsibilities: 

  • Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client's success criteria. 
  • Developing code and model building as per project requirements 
  • Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact. 
  • Building deep relationships with clients by understanding their stated but more importantly, latent needs. 
  • Mentoring Junior Machine Learning engineers 
  • Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence. 
  • Researching and identifying sales opportunity, generating leads, target identification and classification 

Required Skills:

  •  Hands-on experience with statistical tools and techniques 
  • Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. 
  • Should have worked on GenAl projects in the past 
  • Hands on experience with Python, Pyspark and SQL development 
  • Hands on experience of NLP related use cases 
  • Hands on experience of LLMs 
  • Experience productionising machine learning models, and managing and designing end to end ML systems, and data piplines
  • Hands on experience with cloud computing services like AWS (Sagemaker experience is a plus) Ability to think creatively and work well both as part of a team and as an individual contributor Critical eye for the quality of data and strong desire to get it right. 
  • A pleasantly forceful personality and charismatic communication style.
  • Strong communication skill 

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

Stack

LLMsPythonSparkSQLAWSMachine LearningNLPSageMaker
Posted
Sep 3, 2026
Last seen
Sep 14, 2026
First seen
Sep 3, 2026

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