AI Senior Machine Learning Engineer, General AI, ML & Big Data at C-Serv | Torre
AI Senior Machine Learning Engineer, General AI, ML & Big Data
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AI Senior Machine Learning Engineer, General AI, ML & Big Data

You'll pioneer AI platforms and multi-agent systems, shaping ML strategy for a global networking leader.
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Full-time

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Emma of Torre.ai
about 2 months ago

Requirements and responsibilities


About OpportunityWe are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.The RoleAs one of our AI ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.What You'll DoDefine and drive the technical vision for ML solutions across products and platformsOwn the end-to-end software development lifecycle — from design and code reviews through to deployment and operationsArchitect high-performance, scalable microservices, including synchronous and asynchronous web servicesBuild real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computingMentor engineers, set technical direction, and foster a strong team cultureChampion engineering excellence, system resilience, and continuous operational improvementRequired QualificationsDegree in Computer Science, Mathematics, or a related field5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)5–10 years of Python expertise, including advanced features and librariesStrong experience designing RESTful APIs (e.g., FastAPI)Proficiency with Docker, Kubernetes, and CI/CD pipelines3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)Proven experience as a tech lead or engineering mentorPreferred QualificationsMS or PhD in Computer Science or MLHands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRTFamiliarity with NoSQL and document databasesTrack record of handling big data, optimising workflows, and improving system performanceBenefitsHealth Care Plan (Medical, Dental & Vision)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation, Sick & Public Holidays)Family Leave (Maternity, Paternity)Training & Development
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