Associate Architect - Machine Learning

quantiphi; Mumbai; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Quantiphi is seeking an Associate Architect Machine Learning Engineer in Mumbai/Bangalore/Trivandrum to design and deliver scalable ML solutions. You will collaborate with offshore data engineers and analysts to build models aligned with client success criteria.

You will code and deploy ML models, interpret results for clients, mentor junior engineers, and help drive business impact while maintaining high data quality and strong communication with stakeholders.

Qualifications

• Hands-on experience with statistical tools and techniques.
• Analytical skills with regression and statistical modelling.
• GenAI projects experience is desirable.
• Strong Python, PySpark and SQL development skills.
• Experience with NLP use cases and LLMs.
• Experience deploying end-to-end ML systems and data pipelines.
• Cloud experience with AWS (SageMaker a plus).
• Makes creative, independent contributions with strong data quality focus.
• Excellent written and verbal communication.

Responsibilities

• Develop high-level solution architectures with offshore teams to build and test models.
• Develop code and model building as per project requirements.
• Communicate insights to clients to drive business impact.
• Build client relationships by understanding latent needs.
• Mentor junior ML engineers.
• Coordinate with offshore delivery managers for cadence.
• Research and identify sales opportunities and leads.

Skills

Statistical tools

Analytical modeling

GenAI projects

Python PySpark SQL

NLP use cases

LLMs

ML pipelines

AWS / Sagemaker

Data quality

Communication

Tools

Python

PySpark

SQL

NLP

LLMs

AWS SageMaker

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 !