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Weekend Machine Learning Jobs in Alabama (NOW HIRING)

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... May require periods of non-traditional working hours including consecutive nights or weekends (if ...

Develop and deploy machine learning, predictive analytics, and prescriptive analytics, including time-series anomaly detection, predictive maintenance, soft sensors, forecasting, and Digital Twins.

Data Scientist, Finance

Birmingham, AL · On-site

$110 - $160/hr

Must have a passion for machine-learning and research. * This position will be tasked with helping the company analyze trends to make better data-based decisions. * Analyzes large amounts of ...

... apply machine learning techniques for predictive modeling. Qualifications : Required : • 1-3 Years • Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g ...

Experience integrating computational approaches (e.g. data science, machine learning, probability ... Yes Will this position required night, weekend, and after hour work? Yes Will this positon be ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

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Weekend Machine Learning information

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Cities in Alabama with the most Weekend Machine Learning job openings:

Senior Software Developer with Security Clearance

SOSi

Huntsville, AL • On-site

$54 - $71.50/hr

Other

Re-posted 13 days ago


Job description

Company Description Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics. Job Description SOSi is seeking highly skilled Software Developers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on an HPC. In this role, you will play a pivotal role in designing, developing, and maintaining MSIC software applications. You will work closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs. Your expertise in Python, Docker, NoSQL, SQL, and Apache Airflow/Kafka will be crucial in driving our projects forward. Essential Job Duties * Design, develop, test, and maintain software applications using Python.
* Design, implement, and manage scalable MLOps pipelines and infrastructure.
* Develop and manage containerized applications using Docker.
* Work with NoSQL and SQL for database management and optimization.
* Implement and manage data workflows using Apache Airflow and Kafka.
* Automate the training, testing, and deployment of machine learning models.
* Implement and manage APIs and ensure their scalability, reliability, and performance.
* Implement and manage infrastructure as code and configuration management tools.
* Collaborate with data scientists to integrate machine learning models into applications.
* Design and develop microservices architecture for scalability and efficiency.
* Write clean, scalable, and efficient code.
* Participate in the entire software development lifecycle, from concept and design to testing and deployment.
* Troubleshoot, debug, and upgrade existing software.
* Provides leadership, support and guidance to all AIMS Team Members.
* Ensures and promotes the development of the AIMS team through coaching, training, and leadership development.
* Provides informal feedback on an ongoing basis and formal feedback in the annual performance evaluation process to identify and develop talent. Qualifications * Top Secret Security Clearance with SCI eligibility.
* 7+ years of experience in software development, MLOps, DevOps, or related roles.
* Proficiency in Python and experience with its frameworks.
* Extensive knowledge of containerization and orchestration tools (Docker, Kubernetes).
* Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI) and automated testing.
* Experience with version control systems (Git, SVN).
* Hands-on experience with NoSQL and SQL.
* Proficient in using Apache Airflow for workflow management.
* Proficiency with cloud platforms (AWS, Azure, Google Cloud).
* Solid understanding of software architecture and design patterns.
* Strong problem-solving skills and attention to detail.
* Excellent communication and teamwork skills.
* Ability to work independently and manage multiple tasks efficiently.
* Experience with agile development methodologies.
Preferred Qualifications * Bachelor's degree in Computer Science, Engineering, or a related field.
* Familiarity with event-driven architecture and messaging systems (Kafka, RabbitMQ).
* Experience with feature stores and model registries.
* Familiarity with big data technologies (Spark, Hadoop)
* Knowledge of monitoring and logging tools for machine learning models (Prometheus, Grafana, ELK stack).
* Significant experience with petabyte scale data sets.
* Significant experience with large-scale, multi-INT analytics. Additional Information Work Environment * Working conditions are normal for an office environment.
* Fast paced, deadline-oriented environment.
* May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.