Dice
Machine Learning / Cloud Engineer - Hybrid - TS/SCI
Dice, Washington, District of Columbia, us, 20022
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Maania Consultancy Services, is seeking the following. Apply via Dice today!
Position type:
Fulltime / Hybrid 3-4 daysLocation:
N.W D.CClearance:
TS/SCIRole Description
As a Machine Learning Engineer with cloud experience, you will be responsible for developing and deploying machine learning models to solve complex problems across a cloud infrastructure that houses sensitive data and models that support mission-critical operations. You will work closely and collaborate with a dynamic cross-functional team crafting data pipelines for model training to implement machine learning algorithms.Qualifications:
Bachelor's degree or equivalent practical experience.8+ years of experience in computer science, data science, machine learning.Proven experience developing and deploying machine learning models in a production environment.Hands-on experience with major cloud platforms.Strong proficiency in programming languages such as Python, along with libraries like Tensorflow, PyTorch, or scikit-learn.Understanding of version control, testing, and debugging.Agile development experience along with related technologies (e.g., Jira).Skills:
GitLabPython and R StudioCloud Services (AWS, Google Cloud Platform, Oracle)Natural Language Processing (NLP)Machine Learning / Cloud Engineer - Hybrid - TS/SCI
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Position type:
Fulltime / Hybrid 3-4 daysLocation:
N.W D.CClearance:
TS/SCIRole Description
As a Machine Learning Engineer with cloud experience, you will be responsible for developing and deploying machine learning models to solve complex problems across a cloud infrastructure that houses sensitive data and models that support mission-critical operations. You will work closely and collaborate with a dynamic cross-functional team crafting data pipelines for model training to implement machine learning algorithms.Qualifications:
Bachelor's degree or equivalent practical experience.8+ years of experience in computer science, data science, machine learning.Proven experience developing and deploying machine learning models in a production environment.Hands-on experience with major cloud platforms.Strong proficiency in programming languages such as Python, along with libraries like Tensorflow, PyTorch, or scikit-learn.Understanding of version control, testing, and debugging.Agile development experience along with related technologies (e.g., Jira).Skills:
GitLabPython and R StudioCloud Services (AWS, Google Cloud Platform, Oracle)Natural Language Processing (NLP)Machine Learning / Cloud Engineer - Hybrid - TS/SCI
#J-18808-Ljbffr