Senior Machine Learning Engineer
Quantiphi
IN KA Bengaluru; IN MH Mumbai EurekaPosted 26 days agoDiscoveredMatch locked
Full time4+ years exp
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!
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
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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 !
Not included in the source posting: about the role, benefits.
Skills
machine-learningcomputer-visionairflowawsdockermlopspandaspythonpytorchsqltensorflowexcel
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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