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Company

Original Job Post

William Blair · 5 days ago

Senior Machine Learning Engineer

Chicago, IL

Full-time

Onsite

Senior Level

5+ years exp

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Responsibilities

Design, develop, productionize and operate Machine learning models, including Large-Language-Models, and pipelines at scale, for both batch and real-time use cases.

Drive broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations.

Collaborate with machine learning infrastructure engineers to evolve how we build reusable and scalable AI solutions.

Analyze structured and unstructured data to understand how our customers interact with our product and service offerings.

Perform the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations.

Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing machine learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Work collaboratively with cross-functional partners including product owners, operations, legal, and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions and quantify impact.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLSparkAzureDatabricksDeep learning frameworksGenAI modelsArchitectural patternsAPIsData pipelinesAlgorithmsMachine learning infrastructureAzure cloud data technologiesBusiness practicality80/20 ruleAgile developmentEnterprise SearchInformation ExtractionRecommendation SystemsKnowledge GraphNatural Language ProcessingComputer VisionInvestment bankingFinancial sectorProblem-solvingHard-workingAgile mindsetSelf-starterContinuous learningAdaptation

Required

Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research).

5+ years of industry experience in the applied machine learning domain.

Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. Azure, Databricks).

Experience building and scaling machine learning models in business applications using large amounts of data.

Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.

Hands on experience with deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion).

Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).

Experience managing and optimizing Azure cloud data technologies (Synapse, Databricks, ADF, or Azure Data Lake).

Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'.

Agile development mindset, appreciating the benefit of constant iteration and improvement.

Self-starter, comfortable with ambiguity, ability to initiate and drive projects with minimal oversight and guidance.

A record of continuous learning and adaptation to stay updated with the latest in machine learning, generative AI, cloud technologies, and data compliance standards.

Experience with Enterprise Search, Information Extraction, Recommendation Systems, Knowledge Graph, Natural Language Processing, Computer Vision techniques.

2 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.

Experience in the investment banking or financial sector.

Company

William Blair

Glassdoor

4.2

William Blair is a global investment banking and asset management firm.

Founded in 1935

Chicago, Illinois, USA

1,001-5,000 employees

http://www.williamblair.com

H1B Sponsorship

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