Senior AI Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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 Software AI Engineer to develop and deploy end-to-end Gen AI 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 the 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.

Key Responsibilities:

Design and develop production software components.
Develop efficient data ingestion feature engineering and data pipelines at production scale.
Collaborate with data engineers to preprocess and manage large datasets ensuring that data pipelines are efficient and optimized for model training.
Automate collection and visualization of data model and operational metrics.
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.
Work with cross-functional teams including software engineers and data scientists to design system architectures that integrate AI models into existing or new platforms.
Extend harden and scale data processing and ML components.
Perform data ingestion data processing and feature engineering tasks.
System integration to bring AI features to other applications and platforms
Build and deploy microservices for AI features.
Operate and administration of production DB: SQL NoSQL Vector and Graph
Troubleshoot and support production pipeline.
Working with ops team for end-to-end deployment of data and ML pipelines.

Qualifications:

Bachelors or masters degree in computer science or a related field (or equivalent work experience)
5-8 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
Proficient in Python and one other language such as 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
Tools: Linux git Jupyter IDE ML frameworks: Tensorflow Pytorch Keras Scikit-learn Kubeflow MLflow
Excellent English communication skills (written and verbal)

Preferred Skills:

Experience with multimodal AI systems (text image video).
Knowledge of DevOps principles and CI/CD pipelines for automated testing and deployment.
Familiarity with natural language understanding (NLU) automatic speech recognition (ASR) and dialog systems.
Contributions to open-source AI projects or publications in AI/ML conferences and journals.
GenAI: RAG pipeline components LLM pre-training alignment fine tuning different types of LLM and their applications.

Location:

India (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)

Required Experience:

Senior IC

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 Software AI Engineer to develop and deploy end-to-end Ge...

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.

Key Responsibilities:

Design and develop production software components.
Develop efficient data ingestion feature engineering and data pipelines at production scale.
Collaborate with data engineers to preprocess and manage large datasets ensuring that data pipelines are efficient and optimized for model training.
Automate collection and visualization of data model and operational metrics.
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.
Work with cross-functional teams including software engineers and data scientists to design system architectures that integrate AI models into existing or new platforms.
Extend harden and scale data processing and ML components.
Perform data ingestion data processing and feature engineering tasks.
System integration to bring AI features to other applications and platforms
Build and deploy microservices for AI features.
Operate and administration of production DB: SQL NoSQL Vector and Graph
Troubleshoot and support production pipeline.
Working with ops team for end-to-end deployment of data and ML pipelines.

Qualifications:

Bachelors or masters degree in computer science or a related field (or equivalent work experience)
5-8 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
Proficient in Python and one other language such as 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
Tools: Linux git Jupyter IDE ML frameworks: Tensorflow Pytorch Keras Scikit-learn Kubeflow MLflow
Excellent English communication skills (written and verbal)

Preferred Skills:

Experience with multimodal AI systems (text image video).
Knowledge of DevOps principles and CI/CD pipelines for automated testing and deployment.
Familiarity with natural language understanding (NLU) automatic speech recognition (ASR) and dialog systems.
Contributions to open-source AI projects or publications in AI/ML conferences and journals.
GenAI: RAG pipeline components LLM pre-training alignment fine tuning different types of LLM and their applications.

Location:

India (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)

Required Experience:

Senior IC

Key Skills

APIs
C/C++
Computer Graphics
Go
React
Redux
Node.js
AWS
Library Services
Assembly
GraphQL
High Voltage

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About Company

Calix

Calix is a leading provider of cloud and software platforms, systems, and services for internet service providers. Partner with Calix and grow your business.

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