{"id":3170508,"url":"https://alion.io/job/dezign-concepts-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":4450175,"name":"Dezign Concepts","domain":"dezign-concepts.com","url":"https://alion.io/company/dezign-concepts","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CNN","optional":false},{"name":"Computer Vision","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Explainable AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitHub","optional":false},{"name":"Hugging Face","optional":false},{"name":"Keras","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"ONNX","optional":false},{"name":"Path Planning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Transformers","optional":false},{"name":"Verification & Validation","optional":false},{"name":"YOLO","optional":false}],"status":"live","first_seen_at":"2026-10-23T16:51:22Z","employer_posted_date":null,"last_verified_at":"2026-10-23T16:51:22Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Dezign Concepts is recruiting a Machine Learning Engineer to support an unnamed Sponsor. The role develops and adapts AI/ML and language-model capabilities, builds tools and analytics from structured and unstructured data, and supports analytic workflows and intelligence questions.\n\nResponsibilities\nLeverage open source best-in-class models to create new models—through fine tuning, transfer learning, and more— and ensembles that can be re-purposed and reused, covering the following domains:\n + Classification\n + Supervised (CNN, Unet, YOLO, or similar)\n + Unsupervised (DBSCAN, K-Nearest, Adaboost, or similar)\n + Prediction\n + Predictors (LSTM, UConv, or similar)\n + Regressors (Bayesian, linear, or similar)\n + Fusion (sensor level and entity level)\n + Decision making (Task assignments, combinational and parametric optimizations, Reinforcement Learning, Path Planning, or similar)\n + Generative (LLMs, Stackable LLMs, or similar)\n + Machine Learning, AI, Deep Learning (TensorFlow, PyTorch), Text, (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Threat Detection, Computer Vision, Data Mining, Statistics, or similar\nAnalyze large amounts of raw data, including text data, to determine utility for training or testing AI models\nPreprocess or clean structured and unstructured Sponsor data, including text data\nDesign and implement advanced ETL code and table configurations for complex data sets\nUse Structured Query Language (SQL) to develop and organize relevant information\nCooperation with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor’s templates, and document methods in Github\nImplement the Sponsor’s existing coordination process\nProvide technical education to staff on an ad-hoc basis\nProvide subject matter expertise in AI/ML to support Sponsor’s initiatives\n\nSkills\n******Active Top Secret Clearance with Poly Required******\nThis job requires an existing Top Secret Clearance and Polygraph\nMust Be a US Citizen\nActive Top Secret SCI with Poly\nMinimum Bachelor's Degree required\nExpert level experience required\nDemonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases\nDemonstrated professional or academic experience using Python or R\nDemonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance\nDemonstrated professional experience or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems)\nDemonstrated professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark\nDemonstrated professional or academic experience with deep learning frameworks such as **PyTorch, Tensorflow, or Keras**\nDemonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries\nDemonstrated **experience leveraging GPUs for accelerated computing**\nDemonstrated professional or academic experience with version control systems such as Github and Jenkins\nDemonstrated professional or academic experience with the HuggingFace Transformers library and hub\nDemonstrated experience with cloud computing development and architecture\nDemonstrated experience with front-end web development frameworks such as Flask\nDemonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models\nDemonstrated experience developing applications for semantic search\nDemonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards\nDemonstrated academic or professional experience communicating methodological choices and model results\nDemonstrated experience with verification and validation test benches\nDemonstrated experience with Explainable AI (XAI) techniques\nDemonstrated experience with ONNX (Open Neural Net Exchange)\n\nBenefits\nMedical, Dental, Vision, Health Savings Account and more.\nPaid Time Off, Holidays, Social Events, Employee Assistance Program and Team Building\n401K, Tuition Assistance, Annual and Referral Bonuses\n\nCompany Overview\nDezign Concepts provides powering commercial, military, and government with practical engineering solutions. It was founded in 2004, and is headquartered in Mclean, Virginia, USA, with a workforce of 11-50 employees. 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