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Senior/Lead Machine Learning Engineer

🔥 4 minutes ago

🌐 United States, Spain – Remote

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🍂 Massachusetts – Remote

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⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 11%

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Logo of IFS

IFS

5001 - 10000 employees

Founded 1983

🏗️ Construction

🏭 Manufacturing

📦 Logistics

💰 Secondary Market on 2022-03

Construction • Manufacturing • Logistics

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 improvement • Translate high-value AI opportunities into deployable and sustainable products • Apply AI/ML techniques including statistical learning, computer vision, and generative AI • Collaborate with data scientists, data engineers, architects, and DevOps engineers • Develop production-ready, scalable ML pipelines and AI-driven solutions • Act as an AI infrastructure expert • Expand knowledge of AI infrastructure, model monitoring, observability, drift detection, and business process domains • Share knowledge to guide others

🎯 Requirements

• Strong proficiency in Python and experience with relevant libraries, including NumPy, Pandas, and Kserve • Knowledge of Go, C#, or SQL is a plus • Familiarity with Azure cloud computing • Experience with infrastructure as code using Terraform and Helm charts • Experience with CI/CD • Experience with GitOps using ArgoCD • Experience with Docker and Kubernetes • Foundational understanding of supervised and unsupervised learning, deep learning, and model evaluation techniques • Proficiency in data preprocessing and feature engineering • Experience with relational and vector databases • Excellent analytical skills • Excellent verbal and written communication skills • 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 • Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn

🏖️ Benefits

• Remote work opportunities • Flexible and hybrid work opportunities • Inclusive workplace experiences • Commitment to sustainability • Opportunity to work in a global, diverse environment • Opportunity to contribute to AI-driven solutions with worldwide impact

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