Senior Machine Learning Engineer(Only immediately available to join candidates)
About the Company
Quantiphi is an award-winning Al-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats and anomalies. Together with partners and customers, we embark on a data and Al led transformation journey that delivers impactful and measurable results.
About the Role
JOB ROLE - Data Scientist Data Scientist 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.
Responsibilities
- Lead data preparation and profiling efforts to design, build, and deploy predictive models for demand planning and forecasting.
- Collaborate with multiple Business stakeholders and understand their business requirements.
- Ability to speak to customers confidently to present his/her own work not only in pure technical terms but also from a functional or business perspective.
- 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.
- For more details visit our website or our LinkedIn Page.
Required Skills
- 4-6 years of hands-on experience in Statistical Modelling including Propensity Modelling, Segmentation and Clustering.
- 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, SQL and Excel.
- 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 customers 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 including 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.
- This role requires readiness to travel to our client office in Bengaluru twice a week.
Preferred 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).