and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow More ❯
will support your career growth with us. Experience in programming in multiple languages, including Java, JavaScript and Python. Knowledge of and exposure to coaching frameworks. Hands-on experience with MLOps, data engineering, or deployment of AI/ML models (real time and batch) in a business environment. Experience leading teams on AI-driven projects, such as recommendation systems, automation, or More ❯
s why we're a leader in next-generation cybersecurity. Protection Starts with People. Proofpoint. The Role We are looking for a Senior Backend Engineer to join our Algo & MLOps team. In this pivotal role, you will drive the implementation of cloud infrastructure and services enabling the research, training and productionisation of advanced ML models powering our email threat detection … problem-solving within the team. - Develop, deploy and maintain low-latency, scalable and reliable applications and infrastructure using Python and Terraform on AWS cloud - Collaborate closely with data scientists, MLOps and backend engineers to build and manage infrastructure and services for training and deployment of a diverse set of ML and NLP models - Build and maintain batch and real-time More ❯
