Core AI Engineer

2 days ago

Apply Now

Receive Emails with Similar Jobs

Calix

WebsiteLinkedInAll Job Openings

GPON VDSL2 ADSL2+ Metro-Ethernet VoIP IPTV FTTH MSAP MSAN H.248 GR-303 10GE

1001 - 5000

💰 $50M Venture Round on 2009-08

Description

•Calix provides cloud, software platforms, systems and services for communications service providers. •Develop and deploy end-to-end Gen AI applications. •Work on developing advanced AI solutions from model development to deployment in production environment. •Build scalable, high-performance AI systems for various applications, including NLP, predictive analysis, Knowledge management. •Bridge research and production to turn cutting edge AI searches into impactful solutions for real-world problems. •Drive development alongside machine learning engineers, AI researchers, and data engineers to bring models into production. •Design and develop production software components. •Develop efficient data ingestion, feature engineering, and data pipelines at production scale. •Collaborate with data engineers to manage large datasets and optimize data pipelines for model training. •Automate collection and visualization of data, model, and operational metrics. •Deploy models in scalable production environments using cloud platforms. •Work with cross-functional teams, including software engineers and data scientists.

Requirements

•Bachelor’s, Master’s, Computer Science, or a related field. •5+ years of hands-on experience in AI/ML engineering, building and deploying machine learning models in production environments. •Proven track record in developing end-to-end AI applications across different domains, such as NLP, computer vision, or predictive modeling. •Solid foundation on data structure and algorithms. •Proficient in deep learning frameworks such as TensorFlow, PyTorch, or Keras. •Proficiency in Python and one other language: Java, Go, C/C++, R, SQL. •Experience with SQL, Pandas and exposure to various SQL and noSQL DB. •Solid understanding of data engineering and experience working with large datasets and building ETL pipelines. •Experience automating unit, system and production testing. •Experience on data processing: ETL, feature engineering, data cleaning. •Proficiency developing in Linux environments with git. •Experience with cloud platforms (AWS, GCP, Azure) and deploying models in containerized environments using Docker and Kubernetes. •Experience developing microservices and REST API. •Good communication skills.