GenAI ML Ops Lead - Warsaw - 12 months

Global Enterprise Partners is seeking an experienced GenAI ML Ops Lead with hands-on experience working with Python and GCP. The GenAI Ops Lead will be responsible for the reliable and efficient operation of Generative AI pipelines that power our Marketing Creative Agentic platform.

Required Skills:

• Proficient in Google Cloud Platform (GCP) services, particularly Vertex AI, BigQuery, GKE, Cloud Run, and Cloud Functions.
• Experience deploying and optimizing LLMs, image generation models, or other GenAI models in cloud environments
• Experience with evolving technologies like MCP and A2A - and the ability to apply them in a business and marketing context
• Ability to design and implement scalable AI computing infrastructures and application stacks for efficient ML operations
• Familiarity with emerging agentic architectures, including LangGraph, Agent2Agent (ADK), or similar frameworks.
• Understanding of the technical aspects of RAG models, how to retrieve relevant information from knowledge bases and integrate it with LLM output, including their training process and how retrieved information is used to enhance generation
• Working knowledge of NLP, computer vision, and multimodal AI model operations
  Model Transformation Techniques: Experience with techniques like quantization, pruning, and knowledge distillation for optimizing LLMs.
• Familiarity with ML frameworks such as Transformers, PyTorch, or TensorFlow
• Containerization and Orchestration: Proficiency in containerization technologies (eg, Docker, Kubernetes) and orchestration tools.
• Hands-on experience with monitoring and logging solutions, including open-source tools (eg, Prometheus, Grafana, ELK stack) and cloud-native platforms such as Google Cloud Logging and Cloud Monitoring.
• Automation: Strong Scripting and automation skills (eg, Python, Bash).
• Knowledge of security best practices in cloud and AI infrastructure.
• Excellent communication skills, capable of articulating technical visions and strategies to a diverse audience, fostering cross-functional collaboration and consensus.
• Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth.
• Evaluation of ML and LLM models, required
• (Nice to have) Advanced skills in data integration techniques, ETL processes, and familiarity with APIs and web services for connecting disparate data sources in a secure and efficient manner

Contract details:

• Start date: ASAP
• Type of contract: 12 months
• Time zone: CET
• Location: Warsaw, PL

Interested? Let's connect!

Razvan Tarus

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