Machine Learning Engineer
hace 3 semanas
Machine Learning Engineer role at Avahi Job Overview We're looking for an ML Engineer to join our delivery team and serve as a critical bridge between Data Science, Data Engineering, and cloud practices. In this role, you'll help translate experimental models into production-ready systems, strengthen our engineering standards, and ensure our client solutions are robust, scalable, and maintainable. Responsibilities Own the productionization of machine learning models, ensuring they meet performance, reliability, and maintainability standards before deployment. Establish and enforce best practices for code review, testing, version control, and documentation across ML projects. Identify technical debt and quality gaps in existing solutions and drive improvements. Collaborate closely with Data Scientists to understand model requirements and translate experimental code into production-grade implementations. Partner with Data Engineers to ensure feature pipelines, data transformations, and model inputs are well-architected and performant. Work with DevOps and platform teams to design and implement MLOps workflows including CI/CD, model monitoring, and automated retraining. Design and build ML infrastructure and pipelines on AWS using services such as SageMaker, Lambda, Step Functions, ECS/EKS, and related tooling. Implement model serving solutions that balance latency, cost, and scalability requirements. Develop frameworks and reusable components that accelerate delivery across client engagements. Participate in technical discussions with clients to understand requirements and communicate architectural decisions. Contribute to solution design and technical proposals. Mentor junior team members and help raise the technical bar across the organization. Qualifications Required 3+ years of experience in software engineering, machine learning engineering, or a related field. Strong programming skills in Python with an emphasis on writing clean, testable, well-documented code. Hands‑on experience deploying and maintaining ML models in production environments. Proficiency with AWS services, particularly those related to data and ML workloads. Solid understanding of ML fundamentals including model training, evaluation, feature engineering, and common algorithms. Experience with containerization (Docker) and orchestration tools. Familiarity with MLOps practices including experiment tracking, model versioning, CI/CD for ML, and monitoring. Strong communication skills and the ability to work effectively with cross‑functional teams. Preferred Experience in a consulting or professional services environment. Familiarity with infrastructure‑as‑code tools such as Terraform or CloudFormation. Experience with distributed computing frameworks like Spark. Background in Data Engineering or Data Science that complements ML Engineering expertise. AWS certifications related to Machine Learning or Data Analytics. #J-18808-Ljbffr
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Machine learning
hace 2 semanas
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Machine Learning Engineer
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Mexico City Scribd, Inc. A tiempo completoJoin to apply for the Machine Learning Engineer role at Scribd, Inc.5 days ago Be among the first 25 applicantsJoin to apply for the Machine Learning Engineer role at Scribd, Inc.Get AI-powered advice on this job and more exclusive features.About The CompanyAt Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we...
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Machine Learning Engineer
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Mexico City Scribd, Inc. A tiempo completoJoin to apply for the Machine Learning Engineer role at Scribd, Inc.5 days ago Be among the first 25 applicantsJoin to apply for the Machine Learning Engineer role at Scribd, Inc.Get AI-powered advice on this job and more exclusive features.About The CompanyAt Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we...
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Machine Learning Engineer I: Scale ML
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Senior Machine Learning Consultant
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SR Machine Learning Engineer
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SR Machine Learning Engineer
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Lead, Machine Learning Engineer
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City, México Bain & Company Inc A tiempo completo**WHAT MAKES US A GREAT PLACE TO WORK**We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are a **Glassdoor Best Place to Work** and we have maintained a spot in the top four since its founding in 2009. We believe that diversity, inclusion and collaboration...
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Machine Learning Engineer I: Scale ML
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Mexico City Amazon A tiempo completoA leading audio entertainment service in Mexico City is seeking a Machine Learning Engineer I to design and implement a state-of-the-art machine learning platform on AWS. The role involves constructing data pipelines, automating workflows, and collaborating with data scientists. Ideal candidates have significant software development experience and a...
