Lead end-to-end project delivery with clear governance and stakeholder communication.
Mentor junior engineers and contribute to proposals and new business initiatives.
Define what AI systems should and should not attempt, and communicate risks transparently.

Qualifications:

Expert-level Python, strong Git practices, and cloud experience (AWS, Azure, GCP preferred).
Hands-on RAG experience covering chunking, embeddings, retrieval, reranking, and evaluation.
Proven MLOps/LLMOps track record using tools like MLflow, Weights & Biases.

Additional Information:

Learning opportunities including certifications in AWS, Databricks, and Snowflake.
Travel opportunities to attend industry conferences and meet clients.
Flexible working options and company-provided equipment.

Blend

Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company is dedicated to unlocking value and fostering innovation by harnessing world-class talent and data-driven strategy.

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