AI/ML Engineer

Black Canyon Consulting; Bethesda (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Black Canyon Consulting is seeking an AI/ML Engineer to design, develop, and maintain ML systems and applications. You will work with data science prototypes, select algorithms, and train models to meet performance targets.

The role involves collaborating with technical and business stakeholders to translate client challenges into scalable AI-enabled capabilities. Responsibilities include building production-ready ML pipelines, evaluating models, and researching appropriate algorithms and tools.

Qualifications

• Experience developing and maintaining ML models and systems.
• Strong ML algorithms, math, probability, statistics knowledge.
• Proficiency with Python, Java, or R.
• Experience with ML frameworks PyTorch or Keras.

Responsibilities

• Design, develop, and implement machine learning systems and applications.
• Create, train, evaluate, fine-tune, and retrain machine learning models.
• Research and implement algorithms, frameworks, and tools for ML.
• Transform data science prototypes into scalable ML solutions.
• Select datasets and representations based on project requirements.
• Conduct ML tests and experiments and evaluate model performance.
• Extend and integrate ML libraries and frameworks as needed.
• Collaborate with stakeholders to identify AI-enabled opportunities.

Skills

ML models

Python

Java

R

Statistics

Data modeling

Experimentation

Cross-functional

Problem solving

Tools

PyTorch

Keras

scikit-learn

TensorFlow

Job description

Black Canyon Consulting (BCC) is searching for an AI/ML Engineer to support the development and implementation of artificial intelligence and machine learning solutions. The AI/ML Engineer will work with technical and cross‑functional teams to identify opportunities where AI can address complex business and technical challenges and deliver meaningful results.

Job Description

The AI/ML Engineer will design, develop, test, and maintain machine learning systems and applications. This position will work with data science prototypes, select and implement appropriate machine learning algorithms and tools, and train and optimize models based on performance and test results.

The AI/ML Engineer will also collaborate with technical and business stakeholders to understand client challenges, identify opportunities for AI‑enabled solutions, and translate those opportunities into scalable technical capabilities.

Required Skills

• 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

Experience Requirements by Level:

• Senior: 8+ years of relevant experience, including at least 3 years of experience related to AI technologies
• Mid‑Level: 6+ years of relevant experience, including at least 3 years of experience related to AI technologies
• Junior: 3+ years of relevant experience

Desired Skills

• Experience extending or customizing existing machine learning libraries and frameworks
• Experience transforming data science prototypes into production‑ready solutions
• Experience evaluating emerging AI/ML technologies, frameworks, and tools
• Experience working with multidisciplinary or cross‑functional technical teams
• Experience identifying business or technical processes where AI and machine learning can provide measurable benefits
• Strong analytical and problem‑solving skills

Job 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‑tuning 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 opportunities for AI‑enabled solutions
• Work with cross‑functional teams to identify and prioritize areas where AI solutions can provide meaningful business or technical benefits
• Support AI research and development efforts aligned with organizational and client objectives
• Apply sound software engineering, data modeling, and architectural principles when developing AI/ML solutions
• Stay current with advancements in artificial intelligence, machine learning, and related technologies

Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

Voluntary Self‑Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Black Canyon Consulting’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.