Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences. This is the Calix mission - to enable CSPs of all sizes to Simplify. Innovate. Grow.

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The Senior Core AI Engineer will develop and deploy end-to-end Gen AI applications, working on advanced AI solutions from model development to production deployment. Responsibilities include designing and developing production software components, creating data pipelines, collaborating on large datasets, implementing MLOps pipelines for model deployment, integrating AI models into platforms, and building microservices. The role requires working with various teams and includes troubleshooting and supporting production pipelines.  The engineer will also focus on data ingestion, processing, and feature engineering tasks.

Regional Vice President, Sales - North East Region

This is a remote-based position in Mexico. Please submit your resume in English - we can only consider applications submitted in this language. Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.Calix is looking for an innovative and experienced Senior Core AI Engineer to develop and deploy end-to-end Gen AI applications. In this role, you will work on developing advanced AI solutions from model development to deployment in production environment. You will work on building scalable, high-performance AI systems for various applications, including Natural language processing (NLP), predictive analysis, knowledge management, etc. Your work will bridge research and production, turning cutting edge AI searches into impactful solutions for real-world problems. You will be a key player in driving the development, working alongside machine learning engineers, AI researchers, and data engineers to bring these models into production.<h2>Key Responsibilities:</h2><ul><li>Design and develop production software components</li><li>Develop efficient data ingestion, feature engineering and data pipelines at production scale</li><li>Collaborate with data engineers to preprocess and manage large datasets, ensuring that data pipelines are efficient and optimized for model training.</li><li>Automate collection and visualization of data, model, and operational metrics</li><li>Implement and manage MLOps pipelines to automate model deployment, monitoring, and maintenance. Deploy models in scalable production environments using cloud platforms like AWS, GCP, or Azure.</li><li>Work with cross-functional teams, including software engineers and data scientists, to design system architectures that integrate AI models into existing or new platforms.</li><li>Extend, harden, and scale data processing and ML components</li><li>Perform data ingestion, data processing and feature engineering tasks</li><li>System integration to bring AI features to other applications and platforms</li><li>Build and deploy microservices for AI features</li><li>Operate and administration of production DB: SQL, NoSQL, Vector and Graph</li><li>Troubleshoot and support production pipeline</li><li>Work with Ops team for end-to-end deployment of data and ML pipelines</li></ul><h2>Required Skills and Qualifications:</h2><ul><li>Bachelor’s or Master’s Degree in Computer Science or a related field (or equivalent work experience)</li><li>5+ years of hands-on experience in AI/ML engineering, building and deploying machine learning models in production environments</li><li>Proven track record in developing end-to-end AI applications across different domains, such as NLP, computer vision, or predictive modeling</li><li>Solid foundation on data structure and algorithms</li><li>Proficient in deep learning frameworks such as TensorFlow, PyTorch, or Keras</li><li>Proficient in Python and one other language such as Java, Go, C/C++, R, SQL</li><li>Experience with SQL, Pandas and exposure to various SQL and noSQL DB</li><li>Solid understanding of data engineering and experience working with large datasets and building ETL pipelines</li><li>Experience automating unit, system and production testing</li><li>Experience on data processing: ETL, feature engineering, data cleaning</li><li>Proficiency developing in Linux environments with git</li><li>Experience with cloud platforms (AWS, GCP, Azure) and deploying models in containerized environments using Docker and Kubernetes</li><li>Experience developing microservices and REST API</li><li>Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn, Kubeflow, MLflow</li><li>Excellent English communication skills (written and verbal)</li></ul><h2>Preferred Qualifications:</h2><ul><li>Experience with multimodal AI systems (text, image, video)</li><li>Knowledge of DevOps principles and CI/CD pipelines for automated testing and deployment</li><li>Familiarity with natural language understanding (NLU), automatic speech recognition (ASR), and dialog systems</li><li>Contributions to open-source AI projects or publications in AI/ML conferences and journals</li><li>GenAI: RAG pipeline components, LLM pre-training, alignment, fine tuning, different types of LLM and their applications</li></ul><h2>Location:</h2><ul><li>This is a remote-based position in Mexico.</li></ul>#LI-Remote

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inFeedo AI is a B2B SaaS People Experience platform trusted by 330 enterprises to automate listening, service delivery, and employee communications using AI agents and 9 years of People Science research. Founded in 2016, inFeedo has helped HR leaders at Samsung, Aon, Puma, PwC, EY, WesternAlliance Bank, Fidelity, Burger King, and others improve employee experience and efficiency from onboarding to exit. As the Founding Account Executive in the US, you'll own a greenfield territory, build the US presence, land mega-cap logos, define our GTM playbook, and act as the voice of the market. This role offers high impact and autonomy, with massive upside potential.

inFeedo is not for everyone, so if you're a light-hearted one, do give a listen to our founder's brutally honest podcast titled '<a href="https://linktr.ee/tanmayajain">The one where 2020 was hell until YC</a>', so you know what you're walking into.Our mission:Make the voice of 10 million employees heard & valued. Help enterprises build cultures where people ❤️ to come to work.

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inFeedo AI is a B2B SaaS People Experience platform that 330 enterprises trust to automate their listening, service delivery &amp; employee communications, using AI agents and 9 years of People Science research.Founded in 2016, inFeedo’s Amber, Chief Engagement Officer, has&amp;nbsp;helped HR leaders at Samsung, Aon, Puma, PwC, EY, WesternAlliance Bank, Fidelity, Burger King &amp; others to improve employee experience &amp; efficiency from onboarding to exit.We are Asia's #1 EX platform. Join us as we scale our US business &amp; co-create the playbook with our core team.Why Join Now?This is your chance to become our first AE on the ground, define the playbook, own the region, and directly shape how the next $5M of US revenue gets unlocked. You’ll be the face of inFeedo AI to the Fortune 1000.📊 The MissionYou’ll be our Founding Account Executive in the US - the tip of the spear.This is a high-impact, high-autonomy role with massive upside.You will:<ul><li>Own a greenfield territory with end-to-end responsibility.</li><li>Build our US presence, land mega-cap logos, and define our GTM playbook.</li><li>Act as the voice of the market, helping shape messaging, pricing, packaging, and partnerships for the rest of inFeedo.</li></ul>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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