Senior Machine Learning Engineer

Quantiphi

Bengaluru, INonsitePosted Jun 25, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

Skills

classificationregressionpythonexcelnaturallanguageprocessingawsml

About the 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: Senior Machine Learning Engineer

Experience Level: 4+ Years

Work location: Bangalore (Hybrid)

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 quantify able 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

Skills Required:

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 GenAI 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 pipelines

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 skills

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

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