Senior Machine Learning Engineer

Quantiphi; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Quantiphi in Bengaluru seeks a Machine Learning Engineer with 4–6 years of hands-on experience in ML/Data Science, focusing on time-series forecasting. You will lead data preparation, profiling, and the development of predictive models for demand planning and forecasting.

Experience in retail is a plus, with travel to client offices in Bengaluru twice weekly. You will work with AWS, Sagemaker, and ML frameworks, delivering end-to-end ML solutions from data prep to deployment and presenting

Qualifications

• 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).
• Data preparation, data quality assessment, and exploratory data analysis (EDA) on large-scale datasets.
• Advanced proficiency in Python and SQL.
• Ability to own end-to-end tasks from data prep to model deployment.

Responsibilities

• Lead data preparation and profiling to design, build, and deploy predictive models for demand forecasting.
• Collaborate with stakeholders to translate business needs into ML solutions.
• Present results clearly to customers from a business perspective.
• Travel to client office in Bengaluru twice a week.

Skills

Time-series forecasting

Python

SQL

Customer communication

Independence

Data preparation

Model deployment

Business perspective

AWS Cloud Platform

Sagemaker

ML frameworks

MLOps tools

Tools

Docker

Airflow

MLflow

Job description

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!