MACHINE LEARNING/ CLOUD ENGINEER - HYBRID WITH SECURITY CLEARANCE
Disruptive Solutions LLC
Washington DC 20011 US
Machine Learning/ Cloud Engineer: Location: Hybrid; 3-4 days onsite in N.W DC Position 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:
TS-SCI clearance
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.
Strong communications skills with the ability to effectively convey technical concepts to various stakeholders and audiences
Agile development experience along with related technologies (e.g., Jira)
Required professional and vendor certifications: AWS Certified Developer Associate Preferred Qualifications:
TS-SCI clearance
Deep knowledge of security best practices, experience with cloud security tools, and working with role and attribute based security models
Deep knowledge of DevSecOps and MLOPs
Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
Familiarity and experience with the Department of Homeland Security (DHS).
Master’s degree or equivalent experience in a related field. Responsibilities:
Develop and deploy machine learning models to solve complex problems related to various mission focus areas
Leverage various cloud platforms such as AWS, Azure, or Google cloud to build, train, and deploy machine learning models at scale
Collaborate with team members to establish data pipelines for model training and inference
Implement and optimize machine learning algorithms for efficiency and performance
Conduct thorough experimentation and analysis to improve model accuracy and performance
Participate in informal and formal code reviews
Participate in architectural reviews and offer alternative architectural patterns to optimize application performance?
Document processes and solutions that serve as communication findings for both technical and non-technical stakeholder Skills:
GitLab
Python and R Studio
Cloud Services (AWS, GCP, Oracle)
Natural Language Processing (NLP)
Data Science
Machine Learning Disruptive Solutions is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, sexual orientation (including transgender status, gender identity or expression), pregnancy (including childbirth, lactation, and related medical conditions), reproductive health decisions, marital status, personal appearance, matriculation, political affiliation, credit information, employment status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, status as a victim or family member of a victim of domestic violence, a sexual offense, or stalking, homeless status, or any other status protected by federal, state, or local laws.
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:
TS-SCI clearance
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.
Strong communications skills with the ability to effectively convey technical concepts to various stakeholders and audiences
Agile development experience along with related technologies (e.g., Jira)
Required professional and vendor certifications: AWS Certified Developer Associate Preferred Qualifications:
TS-SCI clearance
Deep knowledge of security best practices, experience with cloud security tools, and working with role and attribute based security models
Deep knowledge of DevSecOps and MLOPs
Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
Familiarity and experience with the Department of Homeland Security (DHS).
Master’s degree or equivalent experience in a related field. Responsibilities:
Develop and deploy machine learning models to solve complex problems related to various mission focus areas
Leverage various cloud platforms such as AWS, Azure, or Google cloud to build, train, and deploy machine learning models at scale
Collaborate with team members to establish data pipelines for model training and inference
Implement and optimize machine learning algorithms for efficiency and performance
Conduct thorough experimentation and analysis to improve model accuracy and performance
Participate in informal and formal code reviews
Participate in architectural reviews and offer alternative architectural patterns to optimize application performance?
Document processes and solutions that serve as communication findings for both technical and non-technical stakeholder Skills:
GitLab
Python and R Studio
Cloud Services (AWS, GCP, Oracle)
Natural Language Processing (NLP)
Data Science
Machine Learning Disruptive Solutions is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, sexual orientation (including transgender status, gender identity or expression), pregnancy (including childbirth, lactation, and related medical conditions), reproductive health decisions, marital status, personal appearance, matriculation, political affiliation, credit information, employment status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, status as a victim or family member of a victim of domestic violence, a sexual offense, or stalking, homeless status, or any other status protected by federal, state, or local laws.