AI/ML Engineer Email Systems

As an AI/ML Engineer specializing in Email Systems with a focus on Open Source and NLP, your role involves designing, building, and enhancing an intelligent email platform using open-source technologies. Your primary responsibility is to apply Machine Learning and Natural Language Processing (NLP) techniques to enhance email intelligence, including classification, prioritization, automation, and security. Here's a breakdown of what you'll be doing: Key Responsibilities: - Develop and deploy ML models for email classification, prioritization, auto-replies, and smart suggestions. - Continuously retrain and optimize models using real-world datasets. - Build NLP pipelines for text embedding, Named Entity Recognition (NER), and semantic similarity models. - Enhance contextual understanding of email threads and conversations. - Work with open-source tools like TensorFlow, PyTorch, scikit-learn, Postfix, and Dovecot. - Customize and contribute to open-source components. - Integrate ML models into live email workflows, design scalable architectures, and deploy models via APIs in containerized environments. - Implement phishing and fraud detection systems leveraging ML and ensure compliance with Indian IT and data privacy regulations. Qualifications Required: - Bachelors degree in Computer Science Engineering, Information Technology, or a related technical field. - 35 years of hands-on experience in ML model development, NLP applications, and backend engineering. - Proficiency in Python, TensorFlow, PyTorch, scikit-learn, Pandas, SQL, Linux-based environments, Git/GitHub, and cloud platforms. In addition to the technical skills and qualifications, you will be expected to deliver key outcomes such as improved accuracy in email prioritization, maintaining ML inference latency within defined SLAs, and successful deployment of ML models into production environments. The compensation for this role is competitive and aligned with market benchmarks. The ideal candidate should possess a strong combination of ML expertise and backend engineering skills, capable of taking solutions from model development to production deployment, and comfortable working with open-source ecosystems while understanding real-world constraints. Joining this team offers you the opportunity to build a next-generation intelligent communication platform, make architecture decisions autonomously, and have a direct impact on product innovation and evolution. As an AI/ML Engineer specializing in Email Systems with a focus on Open Source and NLP, your role involves designing, building, and enhancing an intelligent email platform using open-source technologies. Your primary responsibility is to apply Machine Learning and Natural Language Processing (NLP) techniques to enhance email intelligence, including classification, prioritization, automation, and security. Here's a breakdown of what you'll be doing: Key Responsibilities: - Develop and deploy ML models for email classification, prioritization, auto-replies, and smart suggestions. - Continuously retrain and optimize models using real-world datasets. - Build NLP pipelines for text embedding, Named Entity Recognition (NER), and semantic similarity models. - Enhance contextual understanding of email threads and conversations. - Work with open-source tools like TensorFlow, PyTorch, scikit-learn, Postfix, and Dovecot. - Customize and contribute to open-source components. - Integrate ML models into live email workflows, design scalable architectures, and deploy models via APIs in containerized environments. - Implement phishing and fraud detection systems leveraging ML and ensure compliance with Indian IT and data privacy regulations. Qualifications Required: - Bachelors degree in Computer Science Engineering, Information Technology, or a related technical field. - 35 years of hands-on experience in ML model development, NLP applications, and backend engineering. - Proficiency in Python, TensorFlow, PyTorch, scikit-learn, Pandas, SQL, Linux-based environments, Git/GitHub, and cloud platforms. In addition to the technical skills and qualifications, you will be expected to deliver key outcomes such as improved accuracy in email prioritization, maintaining ML inference latency within defined SLAs, and successful deployment of ML models into production environments. The compensation for this role is competitive and aligned with market benchmarks. The ideal candidate should possess a strong combination of ML expertise and backend engineering skills, capable of taking solutions from model development to production deployment, and comfortable working with open-source ecosystems while understanding real-world constraints. Joining this team offers you the opportunity to build a next-generation intelligent communication platform, make architecture decisions autonomously, and have a direct impact on product innovation and evolution.