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