About Us
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. 🌍 More information: http://coderio.com
This is a high-impact technical role. We are looking for a Senior Machine Learning Ops Engineer to join our team. You will own the architecture, development, and automation of end-to-end machine learning solutions. Operating within an established engineering team, you will be a key player in bridging the gap between data science and software engineering, evaluating cloud solutions, and deploying scalable machine learning models into production.
This is a hands-on execution role. You are responsible for the technical health of the ML lifecycle, the performance and cost-efficiency of the cloud architecture, and delivering high-quality, scalable solutions that drive business value.
What To Expect In This Role (Responsibilities)
ML Architecture & Development: Architect and develop robust, end-to-end machine learning solutions.
MLOps & Automation: Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.
Cross-Functional Collaboration: Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle.
Cloud & Architecture Strategy: Work on cloud solutions, actively evaluating the performance and cost-efficiency of potential architectures.
Business Alignment: Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.
Mentorship & Advocacy: Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.
Requirements
Educational Foundation: Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
ML Deployment Mastery: Proven hands-on experience implementing and deploying machine learning solutions in production environments.
Core Stack Expertise: Advanced knowledge of Python, SQL, and Spark.
Tooling & Infrastructure: Strong knowledge in (or similar to) Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation.
Architecture & Integration: Solid understanding of data architectures and complex systems integration.
Problem Solving: Demonstrated ability to troubleshoot and solve complex software system issues.
Cloud Platforms: Extensive experience with modern cloud platforms, specifically AWS and GCP.
Soft Skills: Must be a team player who effectively participates within the group. We are looking for a curious profile, a self-learner with a positive attitude, and excellent communication skills.
Nice to Have
Domain experience in payments or other complex financial systems is a huge plus.
Benefits
Long-term contract engagement with high impact and autonomy.
Strategic and high-visibility role within a modern engineering culture.
Opportunity to influence technical strategy, especially regarding MLOps, scalable data architectures, and cloud cost-efficiency.
Collaborative international team with strong technical leadership.
Flexible, dynamic, and fast-paced work environment.
Why Join Coderio? At Coderio, we value talent and excellence. We are a remote-first company, and this specific strategic role offers the opportunity to drive high-stakes initiatives from anywhere. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. Apply now.
Skills Required
- Bachelor's degree in software engineering or computer science, or equivalent experience in data engineering or machine learning
- Hands-on experience implementing and deploying machine learning solutions in production
- Advanced knowledge of Python, SQL, and Spark
- Strong knowledge of Docker, Git, Bash scripting, FastAPI, SageMaker Studio, Airflow, and CloudFormation or similar tools
- Understanding of data architectures and complex systems integration
- Ability to troubleshoot and solve complex software system issues
- Extensive experience with AWS and GCP
- Teamwork, curiosity, self-learning ability, positive attitude, and excellent communication skills
- Experience in payments or complex financial systems
What We Do
Accelerate your digital transformation with our expert nearshore engineering teams. From experienced Software Engineers to augment your tech team, to fully managed expert Development Squads. We design, engineer, and deliver customized technology solutions for companies of every size. We can assemble your enterprise-level dev squad within 7 days. Scale fast with our on-demand timezone-aligned software development talent. Contact us: [email protected]
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