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Machine Learning Engineer
Build and deploy clinical-grade computer vision models for dermatology, owning the full ML lifecycle from research to cloud deployment on AWS/GCP.
Computer Vision Software Developer, Professional II- Développeur ou Développeuse de Logiciels e[...]
Develop and optimize computer vision algorithms into production-ready code for embedded systems and mobile devices using C, C++, and Python.
Senior Devops - F/H/NB
Optimize AI model inference for low-latency production deployment, manage Kubernetes-based ML infrastructure, and collaborate with data-science teams to scale and automate systems handling thousands of concurrent requests.
Senior Data Scientist. Forecasting (SberAI)
Builds hybrid forecasting models combining time-series ML and LLM agents for scenario planning and strategic predictions, then deploys them via custom infrastructure.
Backend Engineer (Recommendation System/ LLM)
Build and scale backend infrastructure for AI-driven recommendation systems using ML serving platforms, Kubernetes, and distributed systems to deliver personalized financial services.
AI Enterprise Architect
Design and lead end-to-end AI infrastructure, from GPU clusters and high-performance networking to MLOps and governance frameworks, ensuring scalable, compliant, and production-ready AI systems.
Machine Learning Platform Engineer
Build and maintain the infrastructure that trains, deploys, and serves AI models at scale, using Python, PyTorch/JAX, and LLM serving stacks like vLLM.
Senior Data Scientist. Forecasting (SberAI)
Build and deploy cutting-edge forecasting models and LLM agents for scenario planning in banking, using PyTorch, LangChain, and production-grade MLOps tooling.
Python Software Engineer, AI/ML Integration & AI Agents
Builds Python backend services and AI agents that integrate ML models into production on embedded Linux devices, optimizing for performance and resource constraints.
Principal Software Engineer — Backend & Infrastructure - Noida / Bengaluru
Principal engineer leading backend and ML infrastructure at a Series-C conversational AI company, scaling real-time speech/NLP systems, GPU fleets, and inference pipelines for enterprise contact centers.
Machine Learning Engineer Intern
Build and optimize computer-vision models for Datature’s MLOps platform, integrating cutting-edge neural networks and prototyping new vision algorithms for clients in niche domains like medicine and agriculture.
Computer Vision Software Developer
Develop and optimize computer vision algorithms into production-ready code for embedded systems, focusing on performance and hardware constraints using C/C++/Python.
Senior Software Engineering Manager, KV Cache Platform
Senior Software Engineering Manager – KV Cache Platform Department: Top Level - By Department Location: Santa Clara Employment Type: FullTime DDN is seeking a Senior Software Engineering Manager to lead the engineering…
Platform Support Architect
Support and architect AI platforms for DDN’s Hyperpod, diagnosing issues across NVIDIA AI Enterprise, vector databases, GPUs, Kubernetes, and high-performance storage/networking.
Member of Technical Staff — Inference-Core Engine
Builds and optimizes large-scale AI inference systems for frontier models, focusing on performance, latency, and cost across thousands of GPUs.
Principal Architect, Simulation Platform
Principal Architect leads the design of a GPU-powered simulation platform for AI data centers, enabling real-time power orchestration and validation of energy-aware compute systems.
AI Engineer
Research and build vision-transformer and generative-AI models for agricultural computer-vision tasks, then deploy them on edge devices using TensorFlow Lite and OpenVINO.
Machine Learning Infrastructure Engineer
Design and operate high-performance ML inference platforms, optimizing GPU utilization, autoscaling, and observability for large-scale AI model serving in production.
MLOps Engineer
Designs and operates high-performance AI inference platforms for serving large models (e.g., LLMs, vision models) in production, focusing on distributed systems, GPU optimization, autoscaling, and observability to balance latency, throughput, and cost.
AI/ML Engineer, Lead
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.