Senior AI / ML Platform Engineer

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over languages with a growing network of over , in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and / or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Job Reference : #LI-JC1 Role Summary The Senior AI / ML Platform Engineer is responsible for leading the design, implementation, and optimization of scalable machine learning infrastructure. This role ensures that AI / ML models are efficiently deployed, managed, and monitored in production environments while providing mentorship and technical leadership to junior engineers. Key Responsibilities : Architectural Leadership : Lead the design and development of scalable, secure, and efficient AI / ML platform architecture, ensuring robust and reliable infrastructure. Automation & Deployment : Develop and implement advanced automation pipelines for model deployment, monitoring, and rollback, enhancing operational efficiency. Cross-Functional Collaboration : Collaborate with cross-functional teams, including data scientists and product managers, to define platform requirements and support seamless model integration. Performance Optimization : Drive performance tuning, load balancing, and cost optimization strategies to ensure the platform's efficiency and scalability. Mentorship & Leadership : Mentor junior platform engineers, providing technical guidance and fostering a culture of best practices and continuous learning. Incident Management : Conduct post-mortems and root cause analysis for system failures and performance issues, implementing corrective actions to prevent recurrence. Qualifications Educational Background : Bachelor’s or Master’s degree in Computer Science, Engineering, or a related Experience : 5+ years of experience in AI / ML platform or infrastructure engineering, with a proven track record in leading and executing complex projects. Technical Expertise :

• Expertise in cloud-based solutions (, AWS, GCP, Azure), distributed systems, and microservices architecture.
• Proficiency in Terraform, Docker, and advanced automation tools.
• Proficiency in python and .
• Strong understanding of machine learning frameworks (, TensorFlow, PyTorch) and MLOps practices. Problem-Solving Skills : Excellent problem-solving skills with a proactive approach to identifying and addressing technical challenges. Leadership Skills : Strong leadership and mentoring skills, with the ability to guide and inspire engineering teams. Communication Skills : Exceptional communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.