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Senior Data Scientist (AI Safety)
Lead a team building AI-safety guardrails for Sber’s enterprise agent ecosystem, tuning LLMs and deploying detectors against prompt injections, toxicity, and hallucinations using vLLM, LangChain, and PyTorch.
MLOps Engineer
Build and maintain ML pipelines and AI infrastructure for banking products, using Kubernetes, Docker, Terraform, and cloud platforms to deploy and monitor ML models at scale.
AI Engineer — Junior (BC)
Build and evaluate open-weight AI models for Canada’s sovereign stack: quantization harnesses, dataset pipelines, and inference benchmarks under senior mentorship.
Senior Data Scientist LLM (AI-ассистент)
Build and optimize LLM-powered AI assistants for a bank’s customer service channels, integrating models like GPT and Llama with internal APIs and RAG architectures.
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.
Senior Data Scientist (AI Safety)
Build AI-safety guardrails for Sber’s agentic AI risk-management system: tune LLMs, deploy detectors against prompt injections and hallucinations, and lead a team to harden enterprise-scale AI.
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.
Lead AI & Data Platform Engineer - Marketplace (Remote)
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
[Uni - Jan till Jun 2027] GenAI Software Engineer Intern
Build AI agents and automation scripts for an internal AI-powered software engineering platform, integrating LLMs and testing tools to improve developer workflows.
Senior DevOps Engineer (SRE)
Senior DevOps/SRE engineer building and scaling AWS and Azure cloud infrastructure, Kubernetes/ECS clusters, CI/CD pipelines, and AI inference workloads while enforcing security, observability, and FinOps practices.
Senior DevOps Engineer
Senior DevOps Engineer to design, build, and operate scalable infrastructure for an enterprise AI platform, using Kubernetes, cloud providers, and CI/CD pipelines.
Member of Technical Staff — Inference-TPU
Builds and optimizes high-performance ML systems for TPU hardware using JAX, XLA, and Pallas, focusing on inference/training workloads and compiler/runtime tuning.
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.
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.
Member of Technical Staff — Training
Builds and scales distributed training infrastructure for large AI models, optimizing performance and reliability across thousands of GPUs using systems like Megatron-LM and SGLang.
Member of Technical Staff — Product
Builds and maintains developer-facing tools (APIs, SDKs, dashboards) on top of AI inference/training infrastructure like SGLang and Miles, collaborating with product and research teams to create intuitive interfaces.
Member of Technical Staff — Developer Technology
Optimize and accelerate LLM inference and training systems like SGLang and Miles by profiling GPU performance, writing custom kernels, and enabling new models on modern hardware.