BENGALURU · FULLTIME
Senior Machine Learning Engineer
Quantiphi
Bengaluru · onsite · Posted 5d ago
Sourced from
Not disclosed4–6 yrsfulltimeBengaluru
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
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!
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
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).
- 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).
- Collaborate with multiple Business stakeholders and understand their business requirements
- Good verbal and written communication in English
Sourced from foundit
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
DockerAws Sagemakermlflowprophetdata preparationapache airflowHugging Face TransformersMLOps toolstime series forecastingLSTMsLightGBMARIMAData Quality AssessmentAWS Cloud PlatformPytorchTensorflowScikit-LearnstatsmodelsPythonSQLPandasData ScienceMachine 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