4 days ago
Bethesda, MD, USAMid Level / Senior
H1B sponsor

Responsibilities

  • Design, develop, and implement machine learning systems and applications.
  • Create, train, evaluate, fine-tune, and retrain machine learning models.
  • Research and implement appropriate machine learning algorithms, frameworks, and tools.
  • Transform data science prototypes into scalable machine learning solutions.
  • Select appropriate datasets and data representation methods based on project requirements.
  • Conduct machine learning tests and experiments and evaluate model performance.
  • Perform statistical analysis and fine-tune models based on testing and performance results.
  • Extend and integrate existing machine learning libraries and frameworks when appropriate.
  • Collaborate with stakeholders to understand company and client challenges and identify AI-enabled solution opportunities.
  • Work with cross-functional teams to prioritize areas where AI can provide business or technical benefits.
  • Support AI research and development efforts aligned with organizational and client objectives.
  • Apply software engineering, data modeling, and architectural principles when developing AI/ML solutions.
  • Stay current with advancements in artificial intelligence, machine learning, and related technologies.

Requirements

  • Bachelor’s degree.
  • Experience developing, implementing, and maintaining machine learning models and systems.
  • Strong knowledge of machine learning algorithms and techniques.
  • Strong understanding of mathematics, probability, statistics, and algorithms.
  • Experience with data structures, data modeling, and software architecture.
  • Ability to perform statistical analysis and use results to evaluate and fine-tune machine learning models.
  • Experience selecting appropriate datasets and data representation methods.
  • Experience conducting machine learning tests and experiments.
  • Ability to develop robust code using Python, Java, and/or R.
  • Experience with machine learning frameworks such as PyTorch or Keras.
  • Experience with machine learning libraries such as scikit-learn.
  • Junior level: 3+ years of relevant experience.
  • Mid-level: 6+ years of relevant experience, including at least 3 years related to AI technologies.
  • Senior level: 8+ years of relevant experience, including at least 3 years related to AI technologies.
  • Preferred experience extending or customizing machine learning libraries and frameworks.
  • Preferred experience transforming data science prototypes into production-ready solutions.
  • Preferred experience evaluating emerging AI/ML technologies, frameworks, and tools.
  • Preferred experience working with multidisciplinary or cross-functional technical teams.
  • Preferred experience identifying business or technical processes where AI and machine learning can provide measurable benefits.
  • Strong analytical and problem-solving skills.

Benefits

  • Medical, dental, and vision coverage.
  • 401k plan with employer contribution.
  • Paid holidays and vacation.
  • Tuition reimbursement.

Tech Stack

JavaKerasPythonPyTorchRscikit-learn

Categories

Black Canyon Consulting

About Black Canyon Consulting

51-200 employees

Black Canyon Consulting is a privately held, woman-owned IT and program management services firm that delivers contract support to U.S. federal research and health agencies. The company provides systems engineering, custom software, bioinformatics, and project management through government contracts and IDIQ vehicles; it was founded in 2017 and is headquartered in Fairfax, Virginia. Recent roles support the National Center for Biotechnology Information at the NIH/NLM.

Contact me