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
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8–10 years of experience in Data Science or ML Engineering
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Strong foundation in machine learning, statistics, and predictive modeling
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Experience building and deploying ML models at scale
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Proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
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Experience with data pipelines, model deployment, and cloud platforms
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Strong problem-solving and leadership skills
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Experience in commerce, QCom, or CPG is preferred
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Hands-on experience in demand forecasting, price elasticity, MMM, or promo effectiveness is a plus
Responsibilities
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Lead design and development of ML models for business problems
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Guide team on feature engineering, model selection, and tuning
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Oversee productionization and scalability of ML systems
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Collaborate with stakeholders to translate business problems into ML solutions
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Ensure robustness, performance, and monitoring of deployed models
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Mentor junior data scientists and ML engineers
Job Details
Gurugram (Work from Office)
Interview Process
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HR Screening
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Technical Round 1
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Technical Round 2
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Hiring Manager Round
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Final Discussion
Important Note
ClanX is a recruitment partner, helping GobbleCube hire Lead Machine Learning Engineer.
