Important Information Experience: + 5 years Job Mode: Full-time Work Mode: Work from home Job Summary As a Senior ML Engineer(11746) , you will be part of a highly skilled technology and agile team by supporting and developing cutting-edge solutions to meet our business requirements. You will help us accelerate our customers' business results by innovating cutting-edge digital products. Your responsibilities will include leading and actively participating in the design, development, and delivery of our software projects. Responsibilities and Duties Model Deployment: Lead the deployment and monitoring of ML models into production, ensuring stability and scalability. MLOps Management: Oversee the end-to-end lifecycle of machine learning models, including training, testing, deployment, and monitoring in a production environment. LLM Implementation: Work with Large Language Models (LLMs), optimizing them for real-world applications (if applicable). Qualifications and Skills Graduates in systems, networks or related fields with +5 years of experience. Proven ML Model Deployment Experience: Extensive experience deploying machine learning models in production environments. MLOps Expertise: Strong understanding of MLOps practices, including CI/CD for ML models, versioning, and scaling in production. LLM Experience: Experience working with Large Language Models (LLMs) is a significant plus. Programming Skills: Proficient in Python, with experience using ML frameworks like TensorFlow, PyTorch, or Scikit-Learn. Cloud & Infrastructure: Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes for ML workloads. Educational Background: Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning or AI. About Encora Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.