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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MLOps / Machine Learning Engineer
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distrito federal, México Azkait A tiempo completoOverview AZKAIT es una empresa Mexicana que busca y conecta el mejor talento IT con empresas Latinoamericanas y de Estados Unidos. Responsibilities Como MLOps / Machine Learning Engineer, participarás en el desarrollo e integración de modelos de Machine Learning en producción, manteniendo y optimizando pipelines, monitoreo y retrainings. Requirements...
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SR Machine Learning Engineer
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Freelance Machine Learning Engineer
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Machine Learning Jr
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Machine Learning Engineer I, Amazon Music DISCO
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MLOps Engineer: Build
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ML Engineer — Production Models
hace 2 semanas
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Senior Machine Learning Eng
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distrito federal, México Salesforce, Inc.. A tiempo completoSenior MACHINE LEARNING ENGINEER Mexico City We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM and pioneering the next frontier of enterprise AI with AgentForce. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you...
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Senior ML Engineer | Hybrid Remote HealthTech
hace 4 semanas
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Machine Learning Engineer
hace 4 semanas
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