AI Engineer
Marlabs (company site, opens in a new tab)1+ yrsBengaluru, PuneRemoteDirect career pageEst. 6–14 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and demonstrate AI/ML solutions addressing forecasting, risk scoring, churn prediction, anomaly detection, and optimization using structured/tabular data.
- Build, train, tune, and evaluate machine learning models applying various techniques including supervised, unsupervised, semi-supervised methods, and time-series modeling.
- Collaborate with sales engineering, data engineering, and business teams to create PoCs and scalable AI/ML workflows on cloud platforms, and communicate technical solutions to diverse stakeholders.
Minimum Requirements
- Minimum 1 year of hands-on AI/ML experience developing and deploying models in production, prototypes, or PoCs with structured/tabular data.
- Proficiency in Python and machine learning libraries such as Pandas, Scikit-learn, XGBoost, CatBoost, LightGBM, and NumPy.
- Experience with cloud-based AI/ML platforms like AWS SageMaker, Azure Machine Learning, or Databricks ML.
- Working knowledge of MLOps practices including model versioning, deployment automation, explainability, monitoring, and drift detection.
Ideal Candidate Profile
- Experienced in end-to-end AI/ML workflow development including feature engineering, model tuning, and managing AI lifecycle on cloud platforms.
- Able to translate complex AI/ML concepts into business value and communicate effectively to both technical and non-technical stakeholders.
- Comfortable working in a collaborative environment involving pre-sales, data engineering, and delivery teams focused on rapid prototyping and scalable AI solutions.