AI/ML Engineer

As an AI/ML Engineer at Pythian, you design, build, and maintain scalable AI/ML pipelines for client and internal use. You deploy and optimize models, including LLMs and Generative AI, across production environments and cloud platforms. You collaborate with data scientists and software engineers to deliver production-ready AI systems, emphasizing performance, cost-efficiency, and maintainability. This role combines hands-on engineering with shaping AI solutions for transformative outcomes within a cloud-focused services company. Compensaciones / Beneficios competitive total rewards remote work options training allowance and professional development days wellness budget paid vacation and sick days charitable volunteering day Responsabilidades Develop, deploy, and maintain AI/ML pipelines for internal and client-driven projects Deploy, manage, and scale AI models (LLMs and custom models) into production Translate model prototypes into scalable, production-ready AI systems Optimize model performance, latency, and cost on cloud platforms Integrate AI/ML solutions with AWS, GCP, Azure and use Docker/Kubernetes for consistent deployment Apply MLOps practices: CI/CD, model versioning, monitoring, maintenance Coordinate with software engineers to embed AI capabilities into applications and workflows Stay updated on AI/ML tech, Generative AI, and MLOps deployment strategies Requisitos principales

Bachelor’s or Master’s degree in Computer Science, Engineering, AI or related quantitative field 4 to 5 years of experience in ML engineering or ML/AI-focused software development 1-3 years experience with ADK or other agentic frameworks Strong Python programming skills Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) xqbhyrx Hands-on experience deploying/pre-trained models (LLMs/Generative AI) into production Cloud platform experience (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes) Solid knowledge of Data Engineering, ETL/ELT, and Git Experience with Kubeflow or managed ML tools Experience building/scaling AI/ML systems Familiarity with MLOps practices (monitoring, logging, CI/CD) Strong communication and cross-functional collaboration skills Strong communication Team collaboration across cross-functional teams Problem-solving orientation

Solicitante de Empleo

Iniciar sesión

Publica tu currículum