Description
Key Responsibilities
- Mathematical Formulation: Translate ambiguous business problems into mathematically sound framework objectives and optimisation targets.
- Production-Grade Engineering: Write clean, modular, and maintainable code using production-level design patterns to scale mathematical models.
- Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference.
- Deep Learning & Vision Development: Build, train, and fine-tune complex neural networks across text, audio, and visual modalities.
- Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed computing and robust cloud infrastructure.

Required Technical Skills & Competencies

1. Tooling, Libraries & Software Engineering
- Core Language: Advanced proficiency in Python with a strict adherence to Object-Oriented Programming (OOP) principles, clean coding standards, and design patterns.
- Machine Learning Libraries: Advanced proficiency in scikit-learn (sklearn) for data preprocessing,



feature engineering, and baseline modelling.
- Deep Learning Frameworks: Core expertise in PyTorch (preferred) or TensorFlow for building, customizing, and training deep neural networks from scratch.
- Big Data Ecosystem: Experience with Apache Spark (PySpark) and the Hadoop Ecosystem (HDFS, Hive, MapReduce) for handling, transforming, and querying large-scale distributed datasets.
- Cloud Architecture: Experience building and deploying scalable machine learning applications on major cloud platforms (AWS, Azure, or GCP).

2. Core Mathematics & First-Principles ML
- Foundational Math: Solid foundation in Linear Algebra (eigenvalues, SVD, matrix decompositions), Multivariable Calculus (partial derivatives, gradients, Jacobians), and Probability Theory (Bayesian inference, probability distributions, expectation maximization).
- Machine Learning: In-depth understanding of standard Machine Learning algorithms (

📌 Advanced Data Scientist (Bengaluru)
🏢 Honeywell
📍 Bengaluru