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Senior MLE

ConfidentialBengaluru / Bangalore

9 days ago

Job description

Anheuser-Busch InBev (AB InBev)s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights

We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions, Senior MLE, will be responsible for the end-to-end deployment of machine learning models on edge devices

You will take ownership of all aspects of edge deployment, including model optimization, scaling complexities, containerization, and infrastructure management, ensuring high availability and performance, Key tasks & accountabilities

Lead the entire edge deployment lifecycle, from model training to deployment and monitoring on edge devices

Develop, and maintain a scalable Edge ML pipeline that enables real-time analytics at brewery sites, Optimize and containerize models using Portainer, Docker, and Azure Container Registry (ACR) to ensure efficient execution in constrained edge environments, Own and manage the GitHub repository, ensuring structured, well-documented, and modularized code for seamless deployments, Establish robust CI / CD pipelines for continuous integration and deployment of models and services, Implement logging, monitoring, and alerting for deployed models to ensure reliability and quick failure recovery

Ensure compliance with security and governance best practices for data and model deployment in edge environments, Document the thought process & create artifacts on team repo / wiki that can be used to share with business & engineering for sign off, Review code quality and design developed by the peers, Significantly improve the performance & reliability of our code that creates high quality & reproducible results, Develop internal tools / utils that improve productivity of entire team, Collaborate with other team members to advance the teams ability to ship high quality code fast!

Mentor / coach junior team members to continuously upskill them, Maintain basic developer hygiene that includes but not limited to, writing tests, using loggers, readme to name a few, Qualifications, Experience, Skills

Level of educational attainment required (1 or more of the following)

Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline, Previous Work Experience

5+ years of real-world experience to develop scalable & high-quality ML models, Strong problem-solving skills with an owners mindsetproactively identifying and resolving bottlenecks, Technical Skills Required

Proficiency with pandas, NumPy, SciPy, scikit-learn, stats models, TensorFlow, Good understanding of statistical computing, parallel processing, Experience with advanced TensorFlow distributed, NumPy, joblib, Good understanding of memory management & parallel processing in python, Profiling & optimization of production code, Strong at Python coding

Exposure to working in IDEs such as VSC or PyCharm, Experience in code versioning using Git, maintaining modularized code base for multiple deployments, Experience in working in an Agile environment, In depth understand of data bricks (Workflows, cluster creation, repo management), In depth understanding of machine learning solution in Azure cloud, Best practices in coding standards, unit testing, and automation, Proficiency in Docker, Kubernetes, Portainer, and container orchestration for edge computing, Other Skills Required

Experience in real-time analytics and edge AI deployments

Exposure to DevOps practices, including infrastructure automation and monitoring tools

Contributions to OSS or Stack overflow, And above all of this, an undying love for beer!

We dream big to create future with more cheers

Skills Required

Sql, Python, Devops, Cicd

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Senior • Bengaluru / Bangalore

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