Senior Machine Learning Engineer
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Before you apply
LocationIN KA Bengaluru; IN MH Mumbai Eureka
Work modehybrid
Typefull-time
SenioritySenior
Experience4–6 yrs
Company size1,001–5,000 people
PostedSep 22, 2026 · 1mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
4–6 years of hands-on experience in Machine Learning / Data Science
Strong expertise in time-series forecasting and handling sequential data
Build, evaluate, and tune statistical and ML-based forecasting models (ARIMA, LightGBM, Prophet, LSTMs/Transformers)
Solid experience in data preparation, data quality assessment, and exploratory data analysis (EDA) on raw, large-scale datasets
Advanced proficiency in Python and SQL
Proven ability to work independently as a solo team member with minimal supervision, taking end-to-end ownership of tasks
Ability to speak to customer confidently to present his/her own work not only in pure technical terms but also from a functional or business perspective
Experience with AWS Cloud Platform and services
Sagemaker
Hands-on experience with ML frameworks (pandas, scikit-learn, PyTorch/TensorFlow, statsmodels, Prophet) and MLOps tools (Docker, Airflow, MLflow)
Collaborate with multiple Business stakeholders and understand their business requirements
Good verbal and written communication in English
Prior experience in Retail / E-Commerce (e.g., demand planning, SKU-level forecasting, stockout prediction)
Computer Vision Experience: Exposure to basic computer vision tasks, image preprocessing, and classification using tools like OpenCV, PIL, or CNN frameworks
Skills
Python
SQL
AWS
SageMaker
pandas
scikit-learn
PyTorch
TensorFlow
statsmodels
Prophet
Docker
Airflow
MLflow
ARIMA
LightGBM
OpenCV
PIL
About the company
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!
Machine Learning Engineer with 4–6 years of experience, specializing in time-series forecasting. He/she will lead data preparation and profiling efforts to design, build, and deploy predictive models for demand planning and forecasting. Experience in the retail domain is a strong plus. This role requires readiness to travel to our client office in Bengaluru twice a week.
Must have Skills:
•
4–6 years of hands-on experience in Machine Learning / Data Science.
•
Strong expertise in time-series forecasting and handling sequential data.
•
Build, evaluate, and tune statistical and ML-based forecasting models (ARIMA, LightGBM, Prophet, LSTMs/Transformers).
•
Solid experience in data preparation, data quality assessment, and exploratory data analysis (EDA) on raw, large-scale datasets.
•
Advanced proficiency in Python and SQL.
•
Proven ability to work independently as a solo team member with minimal supervision, taking end-to-end ownership of tasks from data preparation to model development and deployment.
•
Ability to speak to customer confidently to present his/her own work not only in pure technical terms but also from a functional or business perspective.
•
Experience with AWS Cloud Platform and services
•
Sagemaker ***
•
Hands-on experience with ML frameworks (pandas, scikit-learn, PyTorch/TensorFlow, statsmodels, Prophet) and MLOps tools (Docker, Airflow, MLflow).
Good to have skills:
•
Prior experience in Retail / E-Commerce (e.g., demand planning, SKU-level forecasting, stockout prediction).
•
Computer Vision Experience: Exposure to basic computer vision tasks, image preprocessing, and classification using tools like OpenCV, PIL, or CNN frameworks (e.g., handling visual data, planograms, or shelf-monitoring images in retail).
Other:
•
Collaborate with multiple Business stakeholders and understand their business requirements
•
Good verbal and written communication in English
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us*!*