Education:, Bachelor’s or Master’s in Computer Science, AI, or equivalent experience (5+ years in ML, 2+ in GenAI), , Technical Mastery:, • Languages: Python, • Frameworks: Expert-level PyTorch, TensorFlow Extended (TFX), ONNX Runtime, • Cloud: Certified in Azure AI Engineer Expert and/or GCP Professional ML Engineer, , GenAI Expertise:, • Delivered production-grade GenAI systems (e.g., 10k+ QPS chatbots, GitHub Copilot-scale autocomplete), • Advanced prompt engineering: self-critique chains, LLM cascades, guardrail-driven generation, , Must-Have Experience:, • Cloud AI Development:, • Azure: Azure OpenAI, MLOps Pipelines, Cognitive Search, • GCP: Vertex AI LLM Evaluation, Gemini Multimodal, TPU v5 Pods, • High-Impact Projects:, • Automation initiatives with measurable cost savings, • RAG systems with hybrid search (vector + lexical) and dynamic data hydration, • AI compliance leadership in regulated industries (e.g., healthcare, finance), , Preferred Qualifications:, • Certifications:, • Microsoft Certified: Azure AI Engineer Associate, • Google Cloud Professional Machine Learning Engineer, • Deployment Experience:, • Hybrid/multi-cloud GenAI setups (e.g., training on GCP TPUs, serving via Azure endpoints)

competitive salary, friendly atmosphere, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, fruits, integration events, dental care, corporate library, video games at work, coffee / tea, parking space for employees, christmas gifts, employee referral program, extra leave