About this role
Senior ML engineer for WWPS ProServe Data & Machine Learning, delivering secure ML/LLM solutions for government clients with emphasis on generative AI and production deployment.
Key Responsibilities
- Design and implement ML solutions on AWS
- Train and fine-tune models
- Deploy ML solutions
- Collaborate with stakeholders
- Mentor team
Technical Overview
End-to-end ML lifecycle on AWS ProServe; LLMs/gen AI, Python/SQL, APIs; production-grade systems with TS/SCI clearance.
Ideal Candidate
The ideal candidate is a senior ML engineer with 5+ years of ML/data experience, active TS/SCI with Polygraph, strong Python/SQL/APIs, and a track record deploying LLM and generative AI solutions for government clients using Python/SQL/APIs.
Must-Have Skills
Bachelor's degree in a quantitative field such as statisticsmathematicsdata sciencebusiness analyticseconomicsfinanceengineeringor computer science5+ years of data querying languages (SQL)scripting languages (Python) or statistical/mathematical software (RSASMatlab) experience5+ years of machine learning/statistical modeling data analysis tools and techniquesExperience in data applications using large scale distributed systems (e.g.EMRSparkElasticsearchHadoopPigand Hive)Knowledge of professional software engineering & best practices for the full software development life cycleincluding coding standardssoftware architecturescode reviewssource control managementcontinuous deploymentstestingand operational excellenceCurrentactive US Government Security Clearance of TS/SCI with Polygraph
Nice-to-Have Skills
Master's degree in statistics/ mathematics/ data science/ business analytics/ economics/ finance/ engineering/ or computer science2+ years of data visualization using AWS QuickSightTableauR Shinyetc.Experience managing data pipelinesKnowledge of ML approaches and algorithmsExperience working on multi-teamcross-disciplinary projectsExperience applying quantitative analysis to solve business problemsExperience in developing and deploying LLMs in production on GPUsNeuronTPU or other AI acceleration hardwareExperience with ML and LLM fundamentalsincluding architecturetraining/inference lifecyclesand optimization of model execution
Required Skills
Bachelor's degree; 5+ years SQL; 5+ years ML; distributed systems; SDLC; TS/SCI with Polygraph
Hard Skills
PythonSQL/NoSQLAPIsMachine LearningGenerative AILLMsprompt engineeringmodel trainingmodel deploymentdata pipelinesdata analysisSASRMatlabTableauPower BIGPU/TPUMLOps
Soft Skills
communicationmentorshipteam collaborationstakeholder managementproblem-solvingtime managementleadership
Keywords for Your Resume
Sr. Machine Learning EngineerML EngineerWWPS ProServe Data and Machine LearningAWS Professional ServicesGenerative AILLMsprompt engineeringAPIs developmentPythonSQL/NoSQLdata pipelinesmodel trainingmodel deploymentproof-of-conceptsTableauPower BIts/SCI with polygraphgovernmentintelligence communitygpuneurontpuaws professional servicesgenerative aillmspythonsql/no-sql
Deal Breakers
Must have active TS/SCI with Polygraph clearance, US citizenship requirement
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