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Torch Technologies is seeking a highly analytical and mathematically mature Apprentice Data Scientist/Machine Learning Engineer to join our growing AI/ML team supporting advanced missile simulation test planning and defense system optimization. This role offers a unique opportunity to learn directly under a lead mathematician and AI engineer working at the intersection of machine learning system modeling and formal analysis. Candidates will focus on understanding data structures modeling assumptions and building explainable and reliable AI systems for complex environments. Ideal applicants are rigorous thinkers who approach problems with precision and creativity using mathematics machine learning and statistical methods.
Key Responsibilities:
Preferred Qualifications:
U.S. Citizenship Required for this Position:Yes
Job Type:Regular Fulltime
Security Clearance:Secret
Schedule:MF; 85
Work Location:Huntsville AL
Travel:010
Relocation Assistance Available:No
Position Contingent Upon Award of Contract:No
Benefits:
Torch Technologies is proud to offer a stable and professional work environment a competitive salary and an excellent comprehensive benefit package including: ESOP participation 401(k) match and safeharbor contribution medical dental vision life insurance shortterm disability longterm disability flexible spending accounts Health Saving Accounts and Health Reimbursement Accounts EAP education assistance paid time off and holidays.
Applying to Torch Technologies:
Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check.
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age genetic information citizenship ancestry marital status protected veteran status disability status or any other status protected by federal state or local law. Torch Technologies Inc. participates in EVerify.
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Full Time