Posted 21 days ago
Senior Machine Learning Engineer
AI Summary
Develops machine learning solutions and architectures, builds and tests predictive models, and communicates insights to clients. Mentors junior engineers and collaborates with offshore teams to deliver end-to-end ML systems.
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: Senior Machine Learning Engineer
Experience Level: 4+ Years
Work location: Mumbai, Bangalore & Trivandrum
Roles and 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 quantifi 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 identifi cation 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!
Skills
Explore related jobs
More jobs at Quantiphi, Inc.
- System Specialist- WorkdayIN MH Mumbai Eureka
- Senior Machine Learning EngineerIN KA Bengaluru
- Senior Machine Learning Engineer - TraditionalIN KA Bengaluru
- Associate Architect - Software DeveloperCanada - Remote
- Architect - Software DeveloperCanada - Remote
- AWS Partner Sales Alliance Lead - Central RegionUSA - Remote
Similar AWS SageMaker jobs
Jobs in Mumbai
Head of Shorts Testing (International)Changing Lives Productions LLC · Mumbai, India- Manager - Operational ExcellencePiramal Pharma Limited · Mumbai, Marshall Islands
- Site IT Technical ManagerAstraZeneca Pharmaceuticals LP Company · India – Mumbai Commerz
- Business Development Manager -Fine ChemicalsAzelis Mexico · Mumbai, IND
- Senior Research Analyst - Iron OreWood Mackenzie Limited · Mumbai, India
- District Manager - PuneElanco US Inc. · IN - Mumbai
Browse these categories
Market data for ai / ml engineer roles
All reports →- SeriesRole reportsOne role family at a time: how many openings, what changed this week, who is hiring, what it pays.
- SeriesSalary reportsWhat employers publish in job postings, by level and workplace. Not self-reported pay.
- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.