(IY-724) - Machine Learning Engineer

(IY-724) - Machine Learning Engineer

We are looking for an experienced Applied Machine Learning Engineer to join our globally-distributed Data Engineering team.
With deep expertise in Python and a passion for building scalable ML solutions, you'll have the opportunity to work on high impact projects using cutting-edge ML technologies.
You'll work with large, complex datasets, developing advanced applications, including those involving Large Language Models (LLMs).
A key part of this role will be owning the implementation of brand new ML services for additional data points we aim to develop.
This role offers significant opportunities for growth and advancement as you address a wide variety of challenging problem sets.
This is a full-time,



contract role that reports directly to our Director of Engineering, Data.About usAt Sourcescrub, we are an innovative, data-driven company focused on delivering impactful machine learning applications at scale.
We believe two areas of focus are paramount to modern deal origination: Exceptional data quality and a relentless approach to Business Development.
Our innovative approach allows finance professionals at all levels in their organization to find, research, track, and connect with privately-held companies.About youYou are an experienced ML engineer with advanced Python skills, capable of designing, implementing, and scaling ML solutions.
You thrive in collaborative environments, working across teams to deliver reliable, high-quality solutions that meet business needs and ensure data integrity at every stage.As our Machine Learning Engineer, you willDevelop and maintain ML models with a focus on scalability,



especially for deploying and optimizing LLMs in production environmentsCollaborate with cross-functional teams to deliver end-to-end ML solutions, from data preprocessing to model deploymentImplement data preprocessing, feature engineering, and model evaluation processes to ensure the highest standards of accuracy and efficiencyDevelop and manage ML pipelines in Python for performance at scaleLeverage cloud platforms (e.g., Azure, AWS) for deploying, scaling, and monitoring models in productionStay current with advancements in LLMs, ML frameworks, and Python development best practicesTo be successful, you should have3+ years of proven experience as an Applied ML Engineer or similar role, with a focus on Python3+ years of advanced Python skills, with strong experience in libraries such as Pandas, NumPy, TensorFlow, PyTorch,



and Scikit-LearnDemonstrated experience in deploying and optimizing ML models at scale, with knowledge of LLMs and other scalable architectures3+ years of strong knowledge of SQL and database management for data storage and retrieval2+ years of experience with version control, particularly GitStrong analytical, problem-solving, and attention to detail skillsExcellent communication and teamwork, particularly in agile environmentsNice to haveExperience with web scraping frameworks such as Scrapy and BeautifulSoup for data extraction and preprocessingFamiliarity with ML Ops tools and practices for streamlined model lifecycle managementExperience with data engineering tools to support robust ML pipelinesBackground in NLP, computer vision, or time-series forecasting,



especially with large-scale dataSourcescrub does not accept unsolicited resumes from search firm recruiters.
Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Sourcescrub.Apply for this job* indicates a required fieldFirst Name *Last Name *Email *Phone *Resume/CV *Accepted file types: pdf, doc, docx, txt, rtfLinkedIn Profile
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