23 часа назад
Applied AI/ML Engineer (AI)
150 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI/ML Engineer (Python/GenAI): Designing, deploying, and integrating production machine-learning and generative-AI capabilities for practical problems in federal software with an accent on model evaluation, data pipelines, and scalable serving. Focus on building LLM workflows, retrieval-augmented generation, model monitoring, and balancing accuracy, latency, cost, and maintainability.
Location: Hybrid/remote for candidates located in the DMV area (DC, Maryland, or Virginia), with in-office collaboration required.
Salary: $150,000–$200,000 per year
Company
builds quality software for the federal space to improve people's daily lives.
What you will do
- Design, develop, and deploy machine-learning and AI-powered features in production systems.
- Apply supervised, unsupervised, and deep-learning techniques to structured and unstructured data.
- Build and evaluate models for classification, ranking, prediction, NLP, and anomaly detection.
- Develop and integrate GenAI solutions, including LLM workflows, retrieval-augmented generation, and agents.
- Build data pipelines and feature-engineering workflows for training and inference.
- Evaluate model performance, bias, drift, and reliability while collaborating on APIs, architecture, scalability, and cost optimization.
Requirements
- Strong foundation in machine-learning concepts, including model selection, training, validation, and evaluation.
- Experience building and deploying ML models in real-world applications.
- Proficiency in Python and common ML libraries such as PyTorch, TensorFlow, or scikit-learn.
- Experience with large language models, embeddings, and prompt-driven systems.
- Familiarity with data-processing tools such as Pandas, SQL, or Spark.
- Must be authorized to work in the United States; certain roles may require U.S. citizenship, a federal background investigation, or a security clearance.
Nice to have
- Experience in innovation, R&D, labs, or exploratory engineering teams.
- Experience deploying models to cloud platforms and managing inference at scale.
- Familiarity with MLOps, model monitoring, CI/CD for ML, and experiment tracking.
- Experience contributing to architecture discussions or technical strategy.
Culture & Benefits
- Learning, growth, and opportunities to make a significant impact at a small company.
- Fully remote work option with an annual stipend.
- Comprehensive benefits package.
- Company-matched 401(k) plan.
- Flexible PTO and paid holidays.
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