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Associate Architect - Machine Learning @ Quantiphi

IN MH Mumbai EurekaOnsiteFull-time
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About this role

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!

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