Job Description
<h3>📋 Description</h3> • Twilio is a remote-first company focused on shaping the future of communications.\n• We embrace remote-first work and global inclusion; you’ll be part of a vibrant, distributed team.\n• See yourself at Twilio: Join Twilio’s AI and Machine Learning Architect role.\n• About the job: Provide technical leadership and architectural guidance to the AI/ML team resident in India; deliver customer-facing capabilities and internal ML systems.\n• Responsibilities: In this role, you’ll: • ML Strategy Development: Craft and execute a comprehensive strategy for machine-learning initiatives that align with Twilio’s objectives.\n• Architecture & Design: Lead the design of scalable, efficient ML systems that integrate with Twilio’s platform.\n• Cross-Functional Collaboration: Partner with data engineering, software development, and product management to incorporate ML models into existing services.\n• Innovation & Leadership: Drive innovation by exploring new technologies and methodologies, setting best practices for the company.\n• Model Lifecycle Management: Oversee the end-to-end lifecycle of ML models, including development, deployment, monitoring, and refinement.\n• Mentorship & Training: Provide guidance and mentorship to junior team members, fostering a culture of learning and growth.\n• Quality Assurance: Ensure the reliability and accuracy of ML models through rigorous testing and validation processes.\n• Begin each bullet with an action-oriented verb: (generate, identify, perform, cultivate, etc.) Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!\n• Required: Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.\n• Experience: Minimum of 7 years in machine learning, with at least 3 years in a leadership or architect role.\n• Technical Proficiency: Strong skills in Python, and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Cloud Services: Deep understanding of cloud platforms such as AWS, GCP, or Azure, especially in deploying and scaling ML models.\n• Modern ML Platforms: Proficient in the design and implementation of ML supporting infrastructure for training, serving, and monitoring applications.\n• Analytical Skills: Proven ability to solve complex problems and develop data-driven solutions.\n• Communication: Excellent verbal and written communication skills to articulate complex concepts to diverse audiences.\n• Team Collaboration: Experience working collaboratively within a dynamic, fast-paced environment.\n• Specify work schedule (if applicable), specify education, previous job experience, certifications, technical skills and soft skills required.\n• Desired: Advanced Degree: Ph.D. in a relevant field. Industry Experience: Experience in the telecommunications sector or related fields.\n• Research Skills: Publications or research contributions in the field of machine learning or data science.\n• Tool Familiarity: Experience with additional tools such as Docker, Kubernetes, and data processing frameworks like Apache Spark.\n• Adaptability: Ability to quickly learn new technologies and apply them effectively.\n• Visionary Thinking: Capacity to anticipate industry trends and contribute to strategic planning.\n• Specify education, previous job experience, certifications, technical skills and soft skills required.\n• Location: This role will be remote and based in India. Twilio thinks big. End with Twilio Magic and equal opportunity statements. <h3>🎯 Requirements</h3> • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.\n• Experience: Minimum of 7 years in machine learning, with at least 3 years in a leadership or architect role.\n• Technical Proficiency: Strong skills in Python, and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Cloud Services: Deep understanding of cloud platforms such as AWS, GCP, or Azure, especially in deploying and scaling ML models.\n• Modern ML Platforms: Proficient in the design and implementation of ML supporting infrastructure for training, serving, and monitoring applications.\n• Analytical Skills: Proven ability to solve complex problems and develop data-driven solutions.\n• Communication: Excellent verbal and written communication skills to articulate complex concepts to diverse audiences.\n• Team Collaboration: Experience working collaboratively within a dynamic, fast-paced environment.\n• Specify work schedule (if applicable), specify education, previous job experience, certifications, technical skills and soft skills required.\n• Advanced Degree: Ph.D. in a relevant field. Industry Experience: Experience in the telecommunications sector or related fields.\n• Research Skills: Publications or research contributions in the field of machine learning or data science.\n• Tool Familiarity: Experience with additional tools such as Docker, Kubernetes, and data processing frameworks like Apache Spark.\n• Adaptability: Ability to quickly learn new technologies and apply them effectively.\n• Visionary Thinking: Capacity to anticipate industry trends and contribute to strategic planning.\n• Specify education, previous job experience, certifications, technical skills and soft skills required.