Senior/Lead Machine Learning Engineer

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IFS

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Secondary Market on 2022-03

Enterprise • SaaS • Artificial Intelligence

IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.

📋 Description

• Design and maintain high-performance, scalable AI/ML infrastructure • Build and execute ML pipelines efficiently • Serve models at scale • Create tools for continuous monitoring and improvements • Collaborate with data scientists, data engineers, architects, and DevOps engineers • Act as AI infrastructure experts in the development of production-ready, scalable ML pipelines and AI-driven solutions

🎯 Requirements

• A bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related field • At least 3+ years of experience in software development • Strong proficiency in Python and experience with relevant libraries (NumPy, Pandas, Kserve, etc.) • Familiarity with cloud computing platforms (Azure) • Knowledge of infrastructure as code (terraform, helm charts), CI/CD, Git Ops with ArgoCD and containerization technologies (Docker, Kubernetes) • Foundational understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and model evaluation techniques • Proficiency in data preprocessing and feature engineering • Experience with relational and vector databases

🏖️ Benefits

• Flexible hybrid work opportunities • Inclusive workplace experiences • Community engagement and sharing of ideas