Associate Architect - Machine Learning

Quantiphi; Mumbai; On-site; INR 850,000 - 1,400,000; Full time

Job summary

Quantiphi is seeking an Associate Architect Machine Learning Engineer in Mumbai/Bangalore to design ML architectures, build models, and provide client-facing insights. The role demands 6+ years of hands-on ML experience and strong communication to drive business impact.

You will mentor junior ML engineers, collaborate with offshore teams, and explore sales opportunities while delivering end-to-end ML pipelines.

Qualifications

• 6+ years of experience in ML engineering and architecture
• Hands-on with Python, PySpark, SQL development
• Experience with NLP use cases and LLMs
• Productionising ML models and end-to-end ML pipelines
• Strong client-facing communication and collaboration skills

Responsibilities

• Develop high-level solution architectures and ML models to meet client success criteria
• Develop code and model building as per project requirements
• Interpret results and communicate insights that drive business impact
• Mentor Junior ML engineers
• Collaborate with offshore delivery managers to ensure delivery cadence
• Identify sales opportunities and generate leads

Skills

Python

PySpark

SQL

NLP

LLMs

AWS

Sagemaker

Statistical Modelling

Data Pipelines

GenAI

Communication

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: 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!