Contract Duration: 12 months (possibility to extend)
Required Skills And Experience
Knowledgeable with Data Science tools, ML serving and related frameworks (i.e. Python, scikit-learn, numpy, pandas, TensorFlow, Spark, Kubeflow, FastAPI).
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github), dependency and virtual environment management (poetry, virtualenv); and ability to write production-ready code.
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
What You Will Be Doing
Develop and implement innovative AI and machine learning tools that will be used to improve and automate business processes.
Develop and implement innovative data quality improvement tools. Strong background in algorithms, mathematics and/or statistics.
Programming experience in Python, R, Q, Matlab, Perl, C++, Java or other programming languages
Posted By: VMS Sourcing\n This offer from \"Motion Recruitment\" has been enriched by Jobgether.com and got a 67% flex score.","identifier":{"@type":"PropertyValue","name":"Motion Recruitment","value":"6408f860316d2b3324cd7d96"},"hiringOrganization":{"@type":"Organization","name":"Motion Recruitment","sameAs":"https://www.motionrecruitment.com/","logo":"https://cdn-s3.jobgether.com/motionrecruitment%2Fprofile.webp"},"datePosted":"2025-05-25T18:35:01.065Z","employmentType":["CONTRACTOR"],"applicantLocationRequirements":[{"@type":"Country","name":"US"}],"jobLocation":[{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressCountry":"US"}}],"validThrough":"2026-05-20T18:40:21.924Z"}
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Our client, a leader in financial software is hiring a Machine Learning Developer to join their team in Mountain View, CA. You will have the opportunity to work a hybrid schedule (3 days onsite / 2 days remote)
Contract Duration: 12 months (possibility to extend)
Required Skills And Experience
Knowledgeable with Data Science tools, ML serving and related frameworks (i.e. Python, scikit-learn, numpy, pandas, TensorFlow, Spark, Kubeflow, FastAPI).
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github), dependency and virtual environment management (poetry, virtualenv); and ability to write production-ready code.
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
What You Will Be Doing
Develop and implement innovative AI and machine learning tools that will be used to improve and automate business processes.
Develop and implement innovative data quality improvement tools. Strong background in algorithms, mathematics and/or statistics.
Programming experience in Python, R, Q, Matlab, Perl, C++, Java or other programming languages