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!
Skills Required
- 6+ years of experience
- Hands-on experience with statistical tools and techniques
- Expertise in logistic regression, cluster analysis, factor analysis, multivariate regression, statistical modeling, and predictive analysis
- Experience working on Generative AI projects
- Hands-on Python development experience
- Hands-on PySpark development experience
- Hands-on SQL development experience
- Hands-on experience with NLP use cases
- Hands-on experience with large language models
- Experience productionizing machine learning models
- Experience designing and managing end-to-end machine learning systems and data pipelines
- Hands-on experience with cloud computing services such as AWS
- Strong communication skills
- Ability to work collaboratively and independently
- Amazon SageMaker experience
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
