Job Description

Lead Machine Learning Engineer to drive model development and production systems, leading a small team to build scalable ML solutions for commerce and CPG use cases.

Company Details
GobbleCube is a data science and AI company solving complex business problems for commerce and CPG brands through advanced analytics and machine learning. Website: https://gobblecube.ai/

Requirements

• 8–10 years of experience in Data Science or ML Engineering

• Strong foundation in machine learning, statistics, and predictive modeling

• Experience building and deploying ML models at scale

• Proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)

• Experience with data pipelines, model deployment, and cloud platforms

• Strong problem-solving and leadership skills

• Experience in commerce, QCom, or CPG is preferred

• Hands-on experience in demand forecasting, price elasticity, MMM, or promo effectiveness is a plus

Responsibilities

• Lead design and development of ML models for business problems

• Guide team on feature engineering, model selection, and tuning

• Oversee productionization and scalability of ML systems

• Collaborate with stakeholders to translate business problems into ML solutions

• Ensure robustness, performance, and monitoring of deployed models

• Mentor junior data scientists and ML engineers

Gurugram (Work from Office)

Interview Process

• HR Screening

• Technical Round 1

• Technical Round 2

• Hiring Manager Round

• Final Discussion

Important Note
ClanX is a recruitment partner, helping GobbleCube hire Lead Machine Learning Engineer.