Machine Learning Engineer

This Jobot Job is hosted by: Amber Wood
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Salary: $120,000 - $180,000 per year

A bit about us:

Financial Services

Why join us?

Competitive Compensation
Full Benefits
Bonus
Growth Opportunities

Job Details

Qualifications:

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

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