Qureos Mentor

Calix

<div>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.<div></div><div>
Job Description:</div><div>
Our Products Team is growing, and we're looking for a highly skilled Senior Machine Learning Engineer to join our cutting-edge Generative AI project. In this role, you will play a key part in designing, developing, and deploying advanced AI models focused on content generation, natural language understanding, and creative data synthesis. You will work alongside a team of data scientists, software engineers, and AI researchers to build systems that push the boundaries of what generative AI can achieve.</div><div></div><div>
Key Responsibilities:</div><ul><li><div>
Design and Build ML Models: Develop and implement advanced machine learning models (including deep learning architectures) for generative tasks, such as text generation, image synthesis, and other creative AI applications.</div></li><li><div>
Optimize Generative AI Models: Enhance the performance of models like GPT, V AEs, GANs, and Transformer architectures for content generation, making them faster, more efficient, and scalable.</div></li><li><div>
Data Preparation and Management: Preprocess large datasets, handle data augmentation, and create synthetic data to train generative models, ensuring high-quality inputs for model training.</div></li><li><div>
Model Training and Fine-tuning: Train large-scale generative models and fine-tune pre-trained models (e.g., GPT, BERT, DALL-E) for specific use cases, using techniques like transfer learning, prompt engineering, and reinforcement learning.</div></li><li><div>
Performance Evaluation: Evaluate models&rsquo; performance using various metrics (accuracy, perplexity, FID, BLEU, etc.), and iterate on the model design to achieve better outcomes.</div></li><li><div>
Collaboration with Research and Engineering Teams: Collaborate with cross-functional teams, including AI researchers, data scientists, and software developers, to integrate ML models into production systems.</div></li><li><div>
Experimentation and Prototyping: Conduct research experiments and build prototypes to test new algorithms, architectures, and generative techniques, translating research breakthroughs into real-world applications.</div></li><li><div>
Deployment and Scaling: Deploy generative models into production environments, ensuring scalability, reliability, and robustness of AI solutions in real-world applications.</div></li><li><div>
Stay Up-to-Date with Trends: Continuously explore the latest trends and advancements in generative AI, machine learning, and deep learning to keep our systems at the cutting edge of innovation.</div></li></ul><div></div><div>
Qualifications:</div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.</div></li><li><div>
5+ years of overall software engineering in production</div></li><li><div>
3-5+ years of focus on Machine Learning.</div></li><li><div>
Proven experience with generative AI models such as GPT, V AEs, GANs, or Transformer architectures.</div></li><li><div>
Strong hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.</div></li><li><div>
Strong coding experience in Python, Java, Go, C/C++, R</div></li><li>
Expertise in Python and libraries such as NumPy, Pandas, and Scikit-learn.</li><li><div>
Experience with Natural Language Processing (NLP), image generation, or multimodal models.</div></li><li><div>
Familiarity with training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E).</div></li><li><div>
Knowledge of cloud platforms (AWS, GCP, Azure) and ML ops pipelines (e.g., Docker, Kubernetes) for deploying machine learning models.</div></li><li><div>
Strong background in data manipulation, data engineering, and working with large datasets.</div></li><li><div>
Good data skills - SQL, Pandas, exposure to various SQL and non-SQL databases</div></li><li><div>
Solid development experience with dev cycle on Testing and CICD</div></li><li><div>
Strong problem-solving abilities and attention to detail.</div></li><li><div>
Excellent collaboration and communication skills to work effectively within a multidisciplinary team.</div></li><li><div>
Proactive approach to learning and exploring new AI technologies.</div></li></ul><div></div><div>
Preferred Skills:</div><ul><li><div>
Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts.</div></li><li><div>
Familiarity with distributed training and high-performance computing (HPC) for scaling large models.</div></li><li><div>
Contributions to AI research communities or participation in AI challenges and open-source projects.</div></li><li><div>
Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn</div></li><li><div>
GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety, and governance</div></li></ul></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;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.</div><div></div><div>
This is the Calix mission - to enable BSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

Staff Software Engineer, ML

<div>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.<div></div><div>
Our Products Team is growing, and we're looking for a highly skilled Senior Software Engineer, AI/ML, to join our AI/PL platform team. In this role, you will play a key part in designing, developing, and deploying advanced AI models focused on content generation, natural language understanding, and creative data synthesis. You will work alongside a team of data scientists, software engineers, and AI researchers to build systems that push the boundaries of what generative AI can achieve.</div><div></div><div>
Key Responsibilities:</div><ul><li><div>
Design and Build ML Models: Develop and implement advanced machine learning models (including deep learning architectures) for generative tasks, such as text generation, image synthesis, and other creative AI applications.</div></li><li><div>
Optimize Generative AI Models: Enhance the performance of models like GPT, V AEs, GANs, and Transformer architectures for content generation, making them faster, more efficient, and scalable.</div></li><li><div>
Data Preparation and Management: Preprocess large datasets, handle data augmentation, and create synthetic data to train generative models, ensuring high-quality inputs for model training.</div></li><li><div>
Model Training and Fine-tuning: Train large-scale generative models and fine-tune pre-trained models (e.g., GPT, BERT, DALL-E) for specific use cases, using techniques like transfer learning, prompt engineering, and reinforcement learning.</div></li><li><div>
Performance Evaluation: Evaluate models&rsquo; performance using various metrics (accuracy, perplexity, FID, BLEU, etc.), and iterate on the model design to achieve better outcomes.</div></li><li><div>
Collaboration with Research and Engineering Teams: Collaborate with cross-functional teams, including AI researchers, data scientists, and software developers, to integrate ML models into production systems.</div></li><li><div>
Experimentation and Prototyping: Conduct research experiments and build prototypes to test new algorithms, architectures, and generative techniques, translating research breakthroughs into real-world applications.</div></li><li><div>
Deployment and Scaling: Deploy generative models into production environments, ensuring scalability, reliability, and robustness of AI solutions in real-world applications.</div></li><li><div>
Stay Up-to-Date with Trends: Continuously explore the latest trends and advancements in generative AI, machine learning, and deep learning to keep our systems at the cutting edge of innovation.</div></li></ul><div></div><div>
Qualifications:</div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.</div></li><li><div>
8+ years of overall software engineering in production</div></li><li><div>
3-5+ years of focus on Machine Learning.</div></li><li><div>
Proven experience with generative AI models such as GPT, V AEs, GANs, or Transformer architectures.</div></li><li><div>
Strong hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.</div></li><li><div>
Strong coding experience in Python, Java, Go, C/C++, R</div></li><li><div>
Expertise in Python and libraries such as NumPy, Pandas, and Scikit-learn.</div></li><li><div>
Experience with Natural Language Processing (NLP), image generation, or multimodal models.</div></li><li><div>
Familiarity with training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E).</div></li><li><div>
Knowledge of cloud platforms (AWS, GCP, Azure) and ML ops pipelines (e.g., Docker, Kubernetes) for deploying machine learning models.</div></li><li><div>
Strong background in data manipulation, data engineering, and working with large datasets.</div></li><li><div>
Good data skills - SQL, Pandas, exposure to various SQL and non-SQL databases.</div></li><li><div>
Solid development experience with dev cycle on Testing and CICD Strong problem-solving abilities and attention to detail.</div></li><li><div>
Excellent collaboration and communication skills to work effectively within a multidisciplinary team.</div></li><li><div>
Proactive approach to learning and exploring new AI technologies.</div></li></ul><div></div><div>
Preferred Skills:</div><ul><li><div>
Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts.</div></li><li><div>
Familiarity with distributed training and high-performance computing (HPC) for scaling large models.</div></li><li><div>
Contributions to AI research communities or participation in AI challenges and open-source projects.</div></li><li><div>
Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn</div></li><li><div>
GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety, and governance</div></li></ul><div></div><div>
Location:</div><ul><li>
India &ndash; (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)</li></ul></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;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.</div><div></div><div>
This is the Calix mission - to enable BSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

Staff Software Engineer, AI/ML

<div>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.<div></div><div>
Our Products Team is growing, and we're looking for a highly skilled Senior Software Engineer, AI/ML, to join our AI/PL platform team. In this role, you will play a key part in designing, developing, and deploying advanced AI models focused on content generation, natural language understanding, and creative data synthesis. You will work alongside a team of data scientists, software engineers, and AI researchers to build systems that push the boundaries of what generative AI can achieve.</div><div></div><div>
Key Responsibilities:</div><ul><li><div>
Design and Build ML Models: Develop and implement advanced machine learning models (including deep learning architectures) for generative tasks, such as text generation, image synthesis, and other creative AI applications.</div></li><li><div>
Optimize Generative AI Models: Enhance the performance of models like GPT, V AEs, GANs, and Transformer architectures for content generation, making them faster, more efficient, and scalable.</div></li><li><div>
Data Preparation and Management: Preprocess large datasets, handle data augmentation, and create synthetic data to train generative models, ensuring high-quality inputs for model training.</div></li><li><div>
Model Training and Fine-tuning: Train large-scale generative models and fine-tune pre-trained models (e.g., GPT, BERT, DALL-E) for specific use cases, using techniques like transfer learning, prompt engineering, and reinforcement learning.</div></li><li><div>
Performance Evaluation: Evaluate models&rsquo; performance using various metrics (accuracy, perplexity, FID, BLEU, etc.), and iterate on the model design to achieve better outcomes.</div></li><li><div>
Collaboration with Research and Engineering Teams: Collaborate with cross-functional teams, including AI researchers, data scientists, and software developers, to integrate ML models into production systems.</div></li><li><div>
Experimentation and Prototyping: Conduct research experiments and build prototypes to test new algorithms, architectures, and generative techniques, translating research breakthroughs into real-world applications.</div></li><li><div>
Deployment and Scaling: Deploy generative models into production environments, ensuring scalability, reliability, and robustness of AI solutions in real-world applications.</div></li><li><div>
Stay Up-to-Date with Trends: Continuously explore the latest trends and advancements in generative AI, machine learning, and deep learning to keep our systems at the cutting edge of innovation.</div></li></ul><div></div><div>
Qualifications:</div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.</div></li><li><div>
5+ years of overall software engineering in production</div></li><li><div>
3-5+ years of focus on Machine Learning.</div></li><li><div>
Proven experience with generative AI models such as GPT, V AEs, GANs, or Transformer architectures.</div></li><li><div>
Strong hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.</div></li><li><div>
Strong coding experience in Python, Java, Go, C/C++, R</div></li><li><div>
Expertise in Python and libraries such as NumPy, Pandas, and Scikit-learn.</div></li><li><div>
Experience with Natural Language Processing (NLP), image generation, or multimodal models.</div></li><li><div>
Familiarity with training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E).</div></li><li><div>
Knowledge of cloud platforms (AWS, GCP, Azure) and ML ops pipelines (e.g., Docker, Kubernetes) for deploying machine learning models.</div></li><li><div>
Strong background in data manipulation, data engineering, and working with large datasets.</div></li><li><div>
Good data skills - SQL, Pandas, exposure to various SQL and non-SQL databases.</div></li><li><div>
Solid development experience with dev cycle on Testing and CICD Strong problem-solving abilities and attention to detail.</div></li><li><div>
Excellent collaboration and communication skills to work effectively within a multidisciplinary team.</div></li><li><div>
Proactive approach to learning and exploring new AI technologies.</div></li></ul><div></div><div>
Preferred Skills:</div><ul><li><div>
Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts.</div></li><li><div>
Familiarity with distributed training and high-performance computing (HPC) for scaling large models.</div></li><li><div>
Contributions to AI research communities or participation in AI challenges and open-source projects.</div></li><li><div>
Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn</div></li><li><div>
GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety, and governance</div></li></ul><div></div><div>
Location:</div><ul><li>
India &ndash; (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)</li></ul></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;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.</div><div></div><div>
This is the Calix mission - to enable BSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

Senior Software Engineer, AI/ML

<div>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.<div></div><div>
Job Description: As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining scalable data architectures that support machine learning models and analytics. You will work closely with data scientists, machine learning engineers, and other stakeholders to ensure that our data infrastructure meets the demands of our ML initiatives. Your expertise will drive the development of eBicient data pipelines, enhance data quality, and optimize performance for our ML workloads.</div><div><br>
Key Responsibilities:</div><ul><li>
Design, develop, and maintain scalable data pipelines and ETL processes to support machine learning/GenAI applications.</li><li>
Architect, implement, and optimize workflow orchestration using Apache Airflow and Google Cloud Composer, ensuring robust scheduling, monitoring, and management of complex data pipelines.</li><li>
Collaborate with data scientists and ML engineers to understand data requirements and ensure seamless integration of data into ML models.</li><li>
Implement data governance practices to ensure data quality, consistency, and compliance with industry standards.</li><li>
Optimize data storage solutions for performance and cost-eBectiveness, utilizing cloud services (GCP).</li><li>
Monitor and troubleshoot data pipeline performance issues, implementing improvements as necessary.</li><li>
Develop and maintain documentation for data architecture, data flows, and processes to support knowledge sharing within the team.</li><li>
Stay updated on the latest data engineering and machine learning trends, tools, and best practices to continuously improve our processes and technologies.</li><li>
Mentor and provide guidance to junior data engineers and other team members. &bull; Perform data ingestion, data processing and feature engineering tasks.</li><li>
Operate and administration of production DB: SQL, NoSQL, Vector and Graph.</li></ul><div>
Qualifications:</div><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, Data Science, or a related field.</li><li>
5+ years of experience as a Data Engineer, with a focus on machine learning applications. &bull; Strong programming skills in Python or Java.</li><li>
Strong experience with data processing frameworks (e.g., Apache Spark, Apache Kafka) and ETL tools.</li><li>
Solid understanding of databases (SQL and NoSQL) and data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).</li><li>
Experience with real-time data processing and streaming analytics.</li><li>
Experience with containerization and orchestration tools (Docker, Kubernetes)</li><li>
Experience with cloud platforms (AWS, Azure, GCP) and their data services.</li><li>
Experience with version control systems (e.g., Git) and CI/CD pipelines.</li><li>
Knowledge of machine learning concepts and algorithms is a plus.</li><li>
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>
Strong communication skills, with an ability to convey complex technical concepts to non-technical stakeholders.</li></ul><div></div><div>
Preferred Qualifications:</div><ul><li>
Knowledge of data governance and compliance regulations.</li><li>
Knowledge of machine learning concepts and algorithms is a plus.</li><li>
Familiarity with MLOps practices and tools.</li></ul></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;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.</div><div></div><div>
This is the Calix mission - to enable BSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

Senior ML Data Pipeline Engineer

<div>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.<div></div><div>
Our Products Team is growing, and we're looking for a highly skilled Principal Software Engineer, AI/ML, to join our cutting-edge AI / ML platform team. In this role, you will play a key part in designing, developing, and deploying advanced AI/ML models focused on content generation, natural language understanding, and creative data synthesis. You will work alongside a team of data scientists, software engineers, and AI/ML researchers to build systems that push the boundaries of what generative AI can achieve.</div><div></div><div>
Key Responsibilities:</div><ul><li><div>
Design and Build ML Models: Develop and implement advanced machine learning models (including deep learning architectures) for generative tasks, such as text generation, image synthesis, and other creative AI applications.</div></li><li><div>
Optimize Generative AI Models: Enhance the performance of models like GPT, V AEs, GANs, and Transformer architectures for content generation, making them faster, more efficient, and scalable.</div></li><li><div>
Data Preparation and Management: Preprocess large datasets, handle data augmentation, and create synthetic data to train generative models, ensuring high-quality inputs for model training.</div></li><li><div>
Model Training and Fine-tuning: Train large-scale generative models and fine-tune pre-trained models (e.g., GPT, BERT, DALL-E) for specific use cases, using techniques like transfer learning, prompt engineering, and reinforcement learning.</div></li><li><div>
Performance Evaluation: Evaluate models&rsquo; performance using various metrics (accuracy, perplexity, FID, BLEU, etc.), and iterate on the model design to achieve better outcomes.</div></li><li><div>
Collaboration with Research and Engineering Teams: Collaborate with cross-functional teams, including SME, AI researchers, data scientists, and software developers, to integrate ML models into production systems.</div></li><li><div>
Experimentation and Prototyping: Conduct research experiments and build prototypes to test new algorithms, architectures, and generative techniques, translating research breakthroughs into real-world applications.</div></li><li><div>
Deployment and Scaling: Deploy generative models into production environments, ensuring scalability, reliability, and robustness of AI solutions in real-world applications.</div></li><li><div>
Stay Up-to-Date with Trends: Continuously explore the latest trends and advancements in generative AI, machine learning, and deep learning to keep our systems at the cutting edge of innovation.</div></li></ul><div></div><div>
Qualifications:</div><ul><li><div>
Education: Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field.</div></li><li><div>
Experience: 10+ years in cloud software development and 4 to 5+ years specializing in AI and Machine Learning</div></li><li><div>
Technical Expertise:</div></li><li><div>
Generative AI models (e.g., GPT, VAEs, GANs, Transformer architectures)</div></li><li><div>
Deep learning frameworks: TensorFlow, PyTorch, JAX</div></li><li><div>
Programming:</div></li><li><div>
Python (NumPy, Pandas, Scikit-learn), plus Java, Go, C/C++, R</div></li><li><div>
NLP, image generation, and multimodal models</div></li><li><div>
Training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E)</div></li><li><div>
Cloud platforms (AWS, GCP, Azure) and ML Ops (Docker, Kubernetes)</div></li><li><div>
Data engineering and large-scale dataset handling</div></li><li><div>
SQL and NoSQL databases</div></li><li><div>
Development Practices:</div></li><li><div>
Strong coding standards</div></li><li><div>
Testing and CI/CD pipelines</div></li><li><div>
Soft Skills:</div></li><li><div>
Ability to mentor and lead system design</div></li><li><div>
Excellent problem-solving, collaboration, and communication</div></li><li><div>
Proactive in learning and adopting new AI technologies</div></li></ul><div></div><div>
Preferred Skills:</div><ul><li><div>
Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts.</div></li><li><div>
Familiarity with distributed training and high-performance computing (HPC) for scaling large models.</div></li><li><div>
Contributions to AI research communities or participation in AI challenges and open-source projects.</div></li><li><div>
Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn</div></li><li><div>
GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety, and governance</div></li></ul><div></div><div>
Location:</div><ul><li><div>
India &ndash; (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)</div></li></ul></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;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.</div><div></div><div>
This is the Calix mission - to enable BSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

Principal Software Engineer, AI/ML

<div>The primary responsibility for this role will be to assist the Information Technology department with all aspects of technology as it relates to Calix. This includes, but is not limited to, user support, hardware setup, maintenance, and service, with a focus on assisting with network operations and troubleshooting. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.<div></div><div><div><div>
Responsibilities and Duties:</div></div><div><ul><li><div>
Provide a high level of customer service while supporting Calix team members in a fast-paced environment. Support includes, but is not limited to, laptops, mobile and data devices, cloud-based technologies</div></li></ul></div><div><ul><li><div>
Maintain incoming incidents and service requests by managing service desk ticketing system and personal queues</div></li></ul></div><div><ul><li><div>
Maintaining and troubleshooting of laptops, desktops, printers, mobile devices, etc.</div></li></ul></div><div><ul><li><div>
Support a variety of operating systems, software, email, infrastructure, and cloud-based technologies</div></li></ul></div><div><ul><li><div>
Hardware and software asset tracking and inventory management</div></li></ul></div><div><ul><li><div>
Provide on-site technical support at special events, e.g., executive speeches, press conferences, etc.</div></li></ul></div><div><ul><li><div>
Communicate and collaborate frequently with end users as well as with local, regional, and global support teams</div></li></ul></div><div><ul><li><div>
Document and update NetOps related instructions and procedures as required</div></li></ul></div><div><ul><li><div>
Process and troubleshoot NetOps related tickets; triage, troubleshoot, resolve tickets</div></li></ul></div></div><div><div><ul><li><div>
Escalate incidents to level 3 NetOps support when required including all necessary incident related information</div></li></ul></div><div></div><div><div><br>
Qualifications:</div></div><div><ul><li><div>
Post-secondary education in Technology or equivalent experience</div></li></ul></div><div><ul><li><div>
Minimum of 2 years&rsquo; experience in similar roles</div></li></ul></div><div><ul><li><div>
Experience in working with teams</div></li></ul></div><div><ul><li><div>
Experience troubleshooting Windows and MacOS, O365, cloud-based technologies</div></li></ul></div><div><ul><li><div>
Basic understanding of the TCP/IP networking stack, familiarity with DNS, DHCP, IPv4, IPv6 and other TCP networking fundamentals</div></li></ul></div><div><ul><li><div>
Experience in troubleshooting and resolving WiFi and wired network issues, including forwarding loops, packet loss, latency, IP address conflicts, 802.1x access control</div></li></ul></div><div><ul><li><div>
Experience with the following vendors, Zscaler, Aruba Wireless, Palo Alto Firewalls, Cisco (Route / Switching / Firewalls) a plus but not required</div></li></ul></div><div><ul><li><div>
Azure or AWS networking a plus but not required</div></li></ul></div><div><ul><li><div>
Ability to diagnose problems and provide solutions and/or escalate to the appropriate expertise area</div></li></ul></div><div><ul><li><div>
Basic skills in the following areas: hardware, software, cloud-based concepts and technologies, networking, and troubleshooting</div></li></ul></div><div></div><div><div><br>
Education, Certifications and Professional Licenses</div></div><div><ul><li><div>
Minimum 2-year degree or similar technical training and experience</div></li></ul></div><div><ul><li><div>
CompTIA Core or Net+ Certifications a plus</div></li></ul></div><div><ul><li><div>
CCNA qualification preferred</div></li></ul></div></div><div></div><div><div><div><br>
Key Competencies</div></div><div><ul><li><div>
Focus on excellent customer service and needs of the user community</div></li></ul></div><div><ul><li><div>
Displays self-starting attitude, resourcefulness, and professionalism</div></li></ul></div><div><ul><li><div>
Reliable and cooperative team player; displays consideration and respect for others</div></li></ul></div><div><ul><li><div>
Displays tact, patience, and the ability to handle stressful situations</div></li></ul></div><div><ul><li><div>
Ability to follow established procedures/standards</div></li></ul></div><div><ul><li><div>
Demonstrates competence and character that inspires trust</div></li></ul></div><div><ul><li><div>
Communicates effectively with the management groups and staff</div></li></ul></div><div><ul><li><div>
Demonstrates strong ability to identify, analyze and solve problems</div></li></ul></div><div><ul><li><div>
Able to respect all Calix information as personal and confidential</div></li></ul></div><div><ul><li><div>
Focused on continuous learning to further IT knowledge and career development</div></li></ul></div><div><ul><li><div>
Ability to work independently as well as in a team environment</div></li></ul></div><div><ul><li><div>
Excellent oral and written English, clear communication</div></li></ul></div></div></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;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.</div><div></div><div>
This is the Calix mission - to enable BSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

IT Support Analyst I

<div>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.<div></div><div>
Calix is looking for a highly skilled and experienced Senior Software Engineer with expertise in the Python ecosystem and cloud technologies. As a senior member of our engineering team, you will play a pivotal role in designing, developing, and maintaining scalable, high-performance software solutions. While AI/ML knowledge is not a requirement, familiarity or interest in these areas is considered a plus and can open opportunities for contributing to innovative projects involving machine learning.</div><div></div><div>
Key Responsibilities:</div><ul><li>
Design and Development: Architect, develop, and maintain scalable and efficient software solutions using Python and its frameworks (e.g., Django, Flask, FastAPI).</li><li>
Cloud Integration: Build and deploy cloud-native applications on platforms such as AWS, Azure, or Google Cloud, leveraging services like serverless computing, containerization (Docker, Kubernetes), and cloud storage.</li><li>
Code Quality: Write clean, maintainable, and testable code while adhering to best practices in software development.</li><li>
Collaboration: Work closely with cross-functional teams, including product managers, DevOps engineers, and data scientists, to deliver end-to-end solutions.</li><li>
Performance Optimization: Identify bottlenecks and optimize application performance, ensuring high availability and reliability.</li><li>
Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement.</li><li>
Security and Compliance: Ensure that all software solutions comply with security standards and industry regulations.</li><li>
Monitoring and Maintenance: Implement monitoring tools and processes to ensure the health and performance of applications in production environments.</li></ul><div></div><div>
Required Skills and Qualifications:</div><ul><li>
Bachelor&rsquo;s, Master&rsquo;s, Computer Science, or a related field.</li><li>
8+ years of professional experience in software development, with a focus on Python and cloud technologies.</li><li>
Expert in Python and its frameworks (e.g., Django, Flask, FastAPI) and proficiency with other languages such as C++/Rust</li><li>
Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their services, including serverless architectures, container orchestration (Kubernetes), and CI/CD pipelines.</li><li>
Experience with database systems (SQL and NoSQL) and data processing tools.</li><li>
Familiarity with microservices architecture and RESTful API design.</li><li>
Proven track record of delivering scalable and reliable software solutions in production environments.</li><li>
Solid foundation on data structure and algorithms</li><li>
Knowledge of DevOps principles and CI/CD pipelines for automated testing and deployment.</li></ul><div></div><div>
Preferred Qualifications:</div><ul><li>
Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Professional Engineer).</li><li>
Knowledge of DevOps practices, including infrastructure as code (e.g., Terraform, Ansible).</li></ul><div></div><div>
AI/ML Knowledge (Nice to Have):</div><ul><li>
Familiarity with AI/ML concepts, such as machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), or natural language processing.</li><li>
Experience working with AI/ML pipelines, model deployment, or data preparation workflows.</li><li>
Interest in contributing to AI/ML-related projects or collaborating with data scientists and machine learning engineers.</li></ul><div></div><div>
Location:</div><ul><li>
India &ndash; (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)</li></ul></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;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.</div><div></div><div>
This is the Calix mission - to enable BSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

Associate Software Engineer

Join Calix and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.