AI/ML Engineer -Secret or TS
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Role details
Tech stack
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Job description
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Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our client.
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Refine data collection processes and improve data quality.
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Design and develop scalable machine learning solutions for various applications.
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Work with software developers to integrate machine learning models into production systems.
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Conduct research to identify new approaches and methods for machine learning and AI.
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Stay updated with the latest trends and advancements in machine learning and AI.
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Document processes, codes, and workflows for future reference and reproducibility.
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Provide support and maintenance for deployed machine learning systems.
Requirements
The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production., Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.
Qualifications:
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Proven experience as a Machine Learning Developer or similar role.
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Strong programming skills in Python, R, C#, Java or similar languages.
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Experience with deep learning techniques and models.
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Expertise in natural language processing (NLP) or computer vision.
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Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
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Experience with data preprocessing, data mining, and data visualization techniques.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
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Familiarity with software development best practices and source control (e.g., Git).
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Active Minimum Secret clearance is required for this position.
Benefits & conditions
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of
employment, including options for medical, dental, and vision insurance. Eligibility to enroll in
the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this
role will have access to paid sick leave and other paid time off benefits as required under the
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