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Machine Learning Defense Jobs in Alabama (NOW HIRING)

DevOps Engineer

Huntsville, AL · On-site

$120K - $165K/yr

... defense, battle management, and related domains. You will help deploy, scale, and standardize machine learning development workflows in support of Small Business Innovation Research (SBIR) and Small ...

Showing results 41-60

Machine Learning Defense information

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Alabama?

For Machine Learning Defense jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Alabama look for?

The top searched job categories for Machine Learning Defense jobs in Alabama are:

What cities in Alabama are hiring for Machine Learning Defense jobs?

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

Sr. Databricks Solutions Architect with Security Clearance

ECS

Huntsville, AL • On-site

Other

Re-posted 16 days ago


Job description

Job Description Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our team in Huntsville, Alabama . This position is contingent upon contract award. ECS is seeking a skilled Sr. Databricks Solutions Architect to join our Professional Services team. This position is contingent upon contract award. If you are passionate about helping customers solve complex big data challenges, leveraging Databricks for advanced analytics, machine learning, and AI-driven insights, and enjoy working in a consulting environment where technical expertise meets client engagement, this role is for you. As a member of our team, you will work with customers on short- to medium-term engagements, providing technical guidance, architecture, and hands-on support to ensure they maximize value from their Databricks environments. You will collaborate with clients to design, implement, and optimize data pipelines, analytics workflows, and machine learning solutions, all while delivering exceptional customer service and consulting expertise. Responsibilities * Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads. * Develop scalable ETL/ELT pipelines and integrate with cloud platforms (AWS, Azure, or GCP). * Guide customers on data governance, security, and compliance best practices within Databricks environments. * Consult on architecture, reference implementations, and best practices for leveraging Delta Lake, Unity Catalog, MLflow, and related Databricks capabilities. * Assist customers with productionalizing data pipelines, machine learning workflows, and AI-driven applications. * Provide escalated technical support for customer operational issues and help troubleshoot complex platform or workflow challenges. * Collaborate with internal and Databricks teams, including Engineers, Architects, Project Managers, and Customer Success teams, to ensure engagement goals are met. * Document technical designs, architecture patterns, deployment procedures, and lessons learned. * Stay current on Databricks platform features, distributed computing trends, and emerging big data technologies. * Deliver solutions that improve performance, scalability, and operational efficiency while meeting customer business objectives. * Support Professional Services and Managed Services initiatives as needed, ensuring billable deliverables meet customer expectations. Required Skills * US Top Secret Clearance required. * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. * 7+ years of experience in Data Engineering. * 10+ years of consulting experience, preferably in data platform or analytics-focused engagements. * Completion of 6-8 hands-on projects with Databricks in production environments. * Proven experience with Databricks, including Spark, Delta Lake, MLflow, and cloud integration. * Strong proficiency in Python and/or SQL for data engineering and analytics. * Deep understanding of distributed computing concepts and Apache Spark runtime internals. * Hands-on experience designing and deploying end-to-end big data and machine learning solutions. * Familiarity with data modeling, performance tuning, and production-grade pipeline design. * Experience working directly with customers in a consulting or professional services capacity. * Ability to manage technical scope, timelines, and delivery while maintaining excellent customer communication. * Willingness to travel up to 30% for customer engagements. Desired Skills * Master's or PhD in Computer Science, Data Science, or related field. * Experience implementing MLOps pipelines and productionizing machine learning workflows. * Knowledge of CI/CD, version control (Git), and infrastructure-as-code tools (Terraform, ARM, CloudFormation). * Exposure to streaming data technologies (Kafka, Kinesis, Event Hubs). * Familiarity with data visualization tools (Tableau, Power BI, Looker). * Experience with regulatory compliance frameworks (HIPAA, FedRAMP, SOC2). * Prior consulting experience with technical project delivery in enterprise environments. * Strong documentation, whiteboarding, and customer presentation skills. #EverforthECS1 ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!