IT Talent Acquisition Specialist
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Recruit IT infrastructure professionals for Artemys, a digital transformation company. Lead sourcing and hiring while contributing to employer branding initiatives.
खोलें
Twilio क्लाउड संचार अवसंरचना प्रदान करता है, जो डेवलपर्स और व्यवसायों को अपने एप्लिकेशन में सीधे ग्राहक जुड़ाव की सुविधाएँ बनाने में मदद करती है। इसके API वॉइस, टेक्स्ट मैसेजिंग, चैट, वीडियो और ईमेल का समर्थन करते हैं, जिससे संगठनों को अलग-अलग प्रणालियों के बजाय सॉफ़्टवेयर के माध्यम से कई संचार चैनलों तक पहुँच मिलती है। 2008 में स्थापित Twilio, API और B2B प्रौद्योगिकी क्षेत्रों में काम करता है और लगभग 5,001–10,000 कर्मचारियों के साथ वैश्विक स्तर पर मौजूद है। कंपनी का करियर प्रोफ़ाइल डेवलपर प्लेटफ़ॉर्म, संचार प्रौद्योगिकी और एंटरप्राइज़ सॉफ़्टवेयर में रुचि रखने वाले उम्मीदवारों के लिए प्रासंगिक है।
Principal Machine Learning Engineer (L5) – Twilio, India Remote
Lead advanced machine learning initiatives for Twilio’s customer communications platform in a remote India-based role. Drive LLM research, personalization, experimentation, and scalable AI/ML production systems.
विवरण
- Develop foundational AI and machine learning capabilities for Twilio’s intelligent customer engagement experiences.
- Deliver new functionality for a rapidly adopted, fast-moving product.
- Convert ambiguous concepts into rigorous experiments and deliver results within weeks.
- Research advanced LLM orchestration, retrieval methods, and data-driven personalization strategies.
- Design and operate machine learning systems at Twilio’s scale.
- Continuously build technical expertise while working in a high-velocity delivery environment.
- Adopt and integrate modern AI development technologies to concentrate on differentiated capabilities.
- Lead fast research cycles focused on contextual intelligence and large-scale machine learning challenges.
आवश्यकताएँ
- Bring 10+ years of applied machine learning or AI experience, with a record of owning technically ambitious systems from design through delivery.
- Work effectively in zero-to-one environments with unclear requirements and a strong bias toward action.
- Program proficiently in Python.
- Build cloud services on AWS, Google Cloud, or Azure that handle high-volume data, streaming or real-time inference, and varied data stores.
- Bring deep expertise in designing, architecting, and deploying production-ready ML/AI systems, including LLM orchestration, embedding models, and vector databases.
- Demonstrate strong knowledge of statistical machine learning, transformer architectures, and large language models.
- Elevate team engineering standards through mentorship, design reviews, and technical practices without relying on formal management authority.
- Have experience developing cloud-based services with AWS, Google Cloud, or Azure.
- Communicate clearly and collaborate effectively with teammates.
लाभ
- Competitive compensation.
- Generous paid time off.
- Substantial parental and wellness leave.
- Healthcare coverage.
- Retirement savings program.
- Support for volunteering and charitable donations.
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