Senior Back-End, MLOps Engineer

Job not on LinkedIn

🔥 12 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 25%

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Logo of Truelogic Software

Truelogic Software

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

📋 Description

• Build and maintain full-stack features across marketplace products, including search, ranking, and user-facing experiences • Develop and support MLOps infrastructure, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring • Collaborate with data scientists and engineers to bring machine learning models into production reliably and at scale • Write clean, well-tested, maintainable code and participate in code reviews • Contribute to technical planning and break down complex problems into executable tasks • Identify and resolve performance, reliability, and scalability issues • Work with data and feature pipelines, SQL, and experimentation/A/B testing frameworks • Communicate progress, surface blockers, and collaborate with distributed teams across time zones

🎯 Requirements

• 5+ years of professional software engineering experience, with strong backend or full-stack development experience • Proficiency in at least one of Go, Python, Ruby, or JavaScript/TypeScript • Hands-on experience with MLOps or production machine learning systems • Experience with Vertex AI, MLflow, Kubeflow, or equivalent tools • Experience with feature stores, ideally Chalk or a comparable technology • Strong SQL skills and experience working with data and feature pipelines • Experience with GCP, AWS, or Azure, with GCP preferred • Solid understanding of machine learning concepts and model deployment • Strong debugging skills • Ability to collaborate with cross-functional teams and colleagues across different time zones • Experience with search, ranking, recommendation systems, real-time systems, or performance/latency optimization is a strong plus • Experience in online marketplaces, mentoring engineers, frontend development, A/B testing, or AI-assisted development tools is a plus • Ability to work from Latin America, as the application asks whether the candidate is currently based there

🏖️ Benefits

• 100% Remote Work • Highly Competitive USD Pay • Paid Time Off • Work with Autonomy • Work with Top American Companies • Engagement activities • Work-life balance support • Collaboration with a diverse, global network • Work with seasoned senior professionals

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