BENGALURU · FULLTIME
Senior Machine Learning Engineer - Traditional
Quantiphi
Bengaluru · onsite · Posted 9d ago
Sourced from
Not disclosed4–6 yrsfulltimeBengaluru
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Section · 01
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!
JOB ROLE - ML Engineer
As an ML Engineer This role focuses on predictive modeling development utilizing Jupyter Notebook environments alongside AWS cloud infrastructure services.
Must Have Skills
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!
JOB ROLE - ML Engineer
As an ML Engineer This role focuses on predictive modeling development utilizing Jupyter Notebook environments alongside AWS cloud infrastructure services.
Must Have Skills
- Must be capable of working independently with minimal supervision alongside the client's business/technical team
- 4+ years experience in Traditional Machine Learning & Predictive Modeling: Hands-on experience building and fine-tuning ML models for regression/classification tasks, specifically sales forecasting or growth prediction using time-series and tabular data
- Python & ML Libraries: Strong command of Python with libraries such as Scikit-learn, Pandas, NumPy, and Jupyter Notebooks for model development and output presentation.
- Model Testing and evaluation
- Feature Engineering & EDA
- AWS Data Ecosystem: Working knowledge of AWS S3 and Amazon Redshift for data ingestion, storage, and retrieval in a cloud development environment
- Data Preparation & Quality: Experience in data handling, missing values, duplicates, inconsistencies, and building unified analytical datasets from multiple sources
- Store/Retail Domain Knowledge: Understanding of retail KPIs, store segmentation frameworks, and business cockpit/reporting concepts
- Stakeholder Communication: Ability to present model outputs, performance metrics, and insights to non-technical business stakeholders during weekly review cadences
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Section · 02
Skills
Model Testing and evaluationredshiftfeature engineeringJupyter notebooksAWS S3Scikit-LearnPythonPandasNumpyPredictive ModelingTraditional Machine Learning
Section · Company
About Quantiphi
Quantiphi
Marlborough
NZ
About
Quantiphi is a digital engineering company that provides data science and machine learning software and services. Quantiphi is a category defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning, and intuitive information design. Its signature approach combines deep industry experience, disciplined cloud, and data-engineering practices and cutting-edge Machine Learning research to achieve quantifiable impact. Quantiphi was founded in 2013 and is headquartered in Marlborough, Massachusetts.
Industries
Artificial Intelligence (AI)Cloud Data ServicesInsurTechMachine LearningSoftware