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Senior AI/ML Engineer
Career Insights for Machine Learning Engineer
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Based on Alabama data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$106,809 / year median in Alabama
Job Description
Python Full Job Description Senior AI/ML Engineer Location:
Huntsville, AL |Onsite Clearance Required:
Minimum TS Clearence Employment Type:
Full-Time Join a Growing Team at WeeghmanBriggs WeeghmanBriggs is seeking a motivated and mission-driven Senior AI/ML Engineer to support critical government initiatives in Huntsville, AL . Founded in 2016 by Anthony Jordan, WeeghmanBriggs specializes in delivering high-impact analytical services to Government Agencies and private organizations. Since our founding, we have partnered with a range of federal entities and private corporations, earning a strong reputation as a trusted, results-driven company with an exceptional team of professionals. As we continue to expand across current programs and upcoming contract awards, we are looking for talented individuals who want to contribute, grow, and build something meaningful alongside us. At WeeghmanBriggs, you're more than a number, you're part of the team. We've built a culture where your opinion matters, your voice is heard, and your contributions make a direct impact on mission success. Our growth creates opportunity for advancement, leadership visibility, and long-term career development while maintaining the supportive, close-knit environment that sets us apart. If you're ready to grow your career while supporting important national missions, we'd love to connect with you. What You'll Do Support mission-critical programs in secure government environments Analyze requirements and translate them into actionable solutions Collaborate with cross-functional teams to deliver high-quality results Ensure compliance with contract and security standards Contribute ideas to improve processes, efficiency, and performance Design robust, fault-tolerant, scalable machine-learning pipelines Automate training and inference Scale data-scientist models Support distributed hyperparameter tuning Develop production-grade ML code What You Bring Experience supporting government or DoD programs Ability to work independently and within a collaborative team environment Strong written and verbal communication skills Strong knowledge/background in Python, ML framework, training/inference pipelines, distributed processing, scalable ML, and production software engineering Minimum 12 years of experience and a Master's degree related to the labor category; or related bachelor's plus 5 additional years of related senior experience, for 17 total years, as substitute for master's. Preferred Qualifications Experience supporting MSIC and DIA programs Agile, cloud, or modernization experience Background in process improvement or analytical services Experience with MLOps, GPUs/HPC, containerization, cloud, data engineering, and model deployment CompensationBenefits At WeeghmanBriggs, we believe our people are our greatest strength. We offer a competitive benefits package designed to support you both professionally and personally. Learn more about our comprehensive benefits here: https://weeghmanandbriggs.com/summary-of-employee-benefits/ Equal Employment Opportunity WeeghmanBriggs is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local laws.Benefits
- Dental Insurance