Blend360 LLC

Director, AI Engineering (Data Science)

Columbia, MD, United States · Director

Sponsorship not specified$180k-$240kDetected 90 days ago

PythonCode ReviewSQLBigQuerySnowflakeAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDKafkaMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkData EngineeringData ScienceNLPLLMsMLOps

About the role

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.
The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.
We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.

Responsibilities

feature engineering, statistical modeling, causal inference, and experimental design across large-scale datasets.
Demonstrated ability to build strategic partnerships with external clients, contributing to revenue growth or account expansion through technical leadership.
Experience building custom transformer models

Nice to have

Professional services experience across multiple client engagements or business units
Knowledge of graph neural networks (GNNs) for social graph or network topology analysis in telecom contexts.
Experience with real-time inference and streaming ML pipelines (Kafka, Flink, or similar).
Deep experience with openai focused on embeddings
It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance.
Establish production standards for model deployment, monitoring, drift detection, and automated retraining across cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a closely related quantitative field
Ph.D. strongly preferred.

Skills

Define technical investments with business objectives
Establish engineering standards, code review practices, and model governance frameworks across the AI org.
Present AI strategy, model results, and roadmap updates to C-suite and senior client stakeholders with clarity and executive presence.
Exceptional executive communication skills-able to translate complex model behavior into business language for C-suite and client audiences.

Compensation

$180k-$240k

Benefits

Published research or conference contributions (NeurIPS, ICML, KDD, RecSys, or industry equivalents) related to applied transformers, tabular deep learning, or domain-specific AI.

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