Head of pre-sale ML/DS

Innowise; EUA; Teletrabalho; USD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work schedule

Worldwide client exposure

Medical insurance

Financial assistance

Resumo da oferta

Innowise приглашает специалистов по AI/ML, способных вести проекты от обнаружения требований до архитектурных решений. Кандидат будет работать над решениями, основанными на LLM, RAG и современных AI-методах, сотрудничать с клиентами и внутренними командами.

Ищем экспертов с опытом в облачных платформах (AWS/Azure/Google Cloud), MLOps и практиками DevOps. Работа с международными клиентами, гибкий график, медицинская страховка.

Qualificações

• Опыт участия в предпроектной работе и подготовке коммерческих предложений (SoW, Roadmap, High-Level Solution Design).
• Умение анализировать бизнес-задачи клиента и переводить их в технические AI/ML решения.
• Опыт оценки усилий, затрат и сроков реализации AI-проектов.
• Отличные коммуникативные навыки и презентации для CTO/PO/C-level.
• Опыт лидерства в техчасти, менторство и координация команд.

Conhecimentos

Python

AI/ML

LLMs

RAG

AI Agents

MLOps

Technical leadership

Cloud platforms

Formação académica

Bachelor's or Master’s degree in CS/DS/Math/Stats

Ferramentas

Docker

Linux

Git

CI/CD

Spark

Databricks

Descrição da oferta de emprego

Описание

In Innowise, you can not only develop as an expert in your field, solve complex problems and influence the result, but also see how the finished project affects the world around. We are a close-knit team of professionals who have already implemented 1600+ cases for clients from the USA, Denmark, Germany, etc. We need someone, who will strengthen our team and become part of the community!

Требования

Experience participating in presales processes, discovery sessions, and preparing commercial proposals (Proposals, SoW, Roadmap, High-Level Solution Design) Ability to analyze client business challenges and translate them into technical AI/ML solutions Experience estimating effort, costs, and delivery timelines for AI projects Excellent communication and presentation skills, with the ability to engage effectively with both technical specialists and business stakeholders (CTO, Product Owners, C-level) Proven experience in technical leadership, mentoring, and team coordination Strong proficiency in Python 3+ years of commercial experience developing AI/ML solutions across Data Science, NLP, Computer Vision, and/or Generative AI Hands-on experience building solutions powered by LLMs, RAG, AI Agents, MCP, Function Calling, and modern AI approaches Deep understanding of modern AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn), machine learning algorithms, model evaluation, and optimization techniques Experience working with cloud platforms (AWS, Azure, or Google Cloud) and modern AI infrastructure practices Understanding of Big Data tools and ecosystems (Spark, Databricks, or similar) Understanding of MLOps processes: automated training, model deployment and monitoring, data and model versioning (MLflow, DVC), and pipeline orchestration (Kubeflow, Airflow, etc.) Fundamental DevOps skills: Docker, Linux, Git, CI/CD Ability to quickly master new domain areas and architect optimal technical solutions Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field English proficiency at B2 level or higher

Будет плюсом

Proficiency in German language; Experience working in IT outsourcing or technology consulting companies; Experience creating architectural diagrams, technical documentation, and presenting solutions to clients; Experience participating in RFP, RFI, RFQ, and tender processes; Industry certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, etc.); Hands-on experience with modern AI development tooling (Cursor, GitHub Copilot, Claude Code, Windsurf, LangSmith, LangFuse, Vercel AI SDK, etc.); Strong grasp of emerging trends in Generative AI and experience applying SOTA models in production/commercial settings; Experience in public speaking, hosting technical workshops or meetups, or authoring technical articles

Условия

Flexible work schedule Experience of working with clients all over the world Financial assistance Medical insurance