Senior Machine Learning Engineer - Traditional

Quantiphi Analytics Solutions Private Limited; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Quantiphi Analytics Solutions Private Limited in Bengaluru seeks an ML Engineer to join our analytics team. You will build predictive models for sales forecasting using time-series and tabular data in Python and Jupyter notebooks, leveraging AWS.

The role requires 4+ years in traditional machine learning, hands-on model development, feature engineering and model evaluation, with the ability to work independently with business and technical stakeholders in a hybrid environment.

Qualifications

• 4+ years of traditional ML and predictive modeling experience.
• Hands-on modeling for regression/classification with time-series and tabular data.
• Ability to work independently with business and technical teams in a hybrid setup.

Responsibilities

• Develop and validate predictive models for sales forecasting.
• Engineer features and perform EDA on diverse data sources.
• Collaborate with stakeholders and deploy models on AWS.

Skills

Python

Scikit-learn

Pandas

NumPy

Jupyter Notebooks

Time-series

Feature Engineering

Model Evaluation

EDA

AWS

S3

Redshift

Tools

AWS

S3

Redshift

Job description

JOB ROLE - ML Engineer

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!

As an ML Engineer

This role focuses on predictive modeling development utilizing Jupyter Notebook environments alongside AWS cloud infrastructure services. Must have Skills: Must be capable of working independently with minimal supervision alongside the client's business/technical team.

4+ years experience in Traditional Machine Learning & Predictive Modeling: Hands-on experience building and fine-tuning ML models for regression/classification tasks, specifically sales forecasting or growth prediction using time-series and tabular data.

Python & ML Libraries: Strong command of Python with libraries such as Scikit-learn, Pandas, NumPy, and Jupyter Notebooks for model development and output presentation.

Model Testing and evaluation; Feature Engineering & EDA.

AWS Data Ecosystem: Working knowledge of AWS S3 and Amazon Redshift for data ingestion, storage, and retrieval in a cloud development environment.

Data Preparation & Quality: Experience in data handling, missing values, duplicates, inconsistencies, and building unified analytical datasets from multiple sources.

Good to have skills:

• Store/Retail Domain Knowledge: Understanding of retail KPIs, store segmentation frameworks, and business cockpit/reporting concepts.
• Stakeholder Communication: Ability to present model outputs, performance metrics, and insights to non-technical business stakeholders during weekly review cadences.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Thank you for your interest in Quantiphi! We are a team that dreams together and collaborates to ensure success. We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture.

As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe. If this excites you, explore our current openings and apply to any job roles that suit and interest you.

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We solve the toughest and most complex business problems with the latest and cutting-edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family. Our culture is built on transparency, diversity, integrity, learning and growth. We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional as well as personal lives.