Machine Learning Engineer

Western EcoSystems Technology Inc. (WEST) is a dynamic medium-size consulting firm with offices across the United States and are looking for a full-timeMachine Learning Engineer to join our team.WEST has a permanent core of professionals with broad experience in applied ecological studies the sophisticated analysis of natural resource data and impact assessment and permitting. Since its founding in 1990 the WEST team has shaped our work through our core values and key principles that our work matters to our clients communities and the environment. Join WEST and discover a company of passionate committed and highly motivated individuals.

The Machine Learning team specializes in wildlife monitoring solutions using cutting-edge technology. We develop end-to-end systems for processing and analyzing ecological data including camera trap imagery drone footage and audio data. We focus on delivering practical deployable solutions that support real-world conservation and monitoring efforts.

Example projects include:

• Species classification and individual re-identification of wildlife from camera trap images
• Habitat and vegetation classification from drone footage
• Animal tracking and behavior analysis from video collar footage

Please clickhereto see what benefits WEST offers!

The minimum base salary for this position is $90000 and the maximum is $110000 plus additional annual profit-sharing bonus potential. Salary may vary based on education knowledge and experience.

Location is flexible although a location in the Fort Collins CO Laramie WY or Cheyenne WY office is preferred

Job Description

We are seeking a talented and experienced Machine Learning Engineer to join our this role you will collaborate with Machine Learning Data Scientists to train machine learning models and create robust scalable pipelines and software tools that can be used by internal teams and external clients. Projects often involve deploying models across a variety of environments including cloud on-premise and field-based systems (e.g. drones or edge devices). This role is ideal for someone who enjoys building complete solutions working with real-world data and solving engineering challenges in applied computer vision.

Key Responsibilities:

Machine Learning Systems & Engineering

• Design and implement end-to-end ML pipelines including data ingestion preprocessing model inference and results delivery
• Develop reusable software tools and workflows that support internal teams and client-facing deliverables
• Build systems that integrate model predictions into downstream analysis reporting or visualization pipelines

Deployment & Productionization

• Deploy machine learning models across diverse environments including cloud on-premise and edge/field systems
• Optimize models and pipelines for performance reliability and resource constraints (e.g. memory compute bandwidth)
• Ensure systems are maintainable and reproducible including versioning of data models and code

Data & Model Development

• Conduct data preprocessing QA/QC and dataset management for ML workflows
• Develop and evaluate computer vision models with attention to real-world challenges such as noisy labels class imbalance and domain shift
• Iterate on model and pipeline performance based on testing and deployment feedback

Collaboration & Communication

• Collaborate with data scientists engineers and domain experts (e.g. ecologists remote sensing specialists) to design effective solutions
• Communicate technical concepts system limitations and results to both technical and non-technical stakeholders
• Contribute to technical reports project proposals and client deliverables

Operational Ownership

• Support debugging and monitoring of deployed systems including identifying issues in data models or infrastructure
• Contribute to team best practices around code quality testing and reproducibility

This is a general description of the functions for this position and is not inclusive of the duties which may be associated with this position.

Qualifications:

• Masters or Ph.D. in Computer Science Data Science Machine Learning or a related field or Bachelors with relevant work experience.
• Proficient in Python and PyTorch experience in C# preferred
• Experience deploying ML models in resource-constrained or field environments (e.g. edge devices drones embedded systems)
• Experience building user-facing tools APIs or automated workflows for ML systems
• Experience with remote sensing drone imagery or ecological/biological datasets
• Familiarity with cloud platforms distributed processing or large-scale data pipelines especially Azure ML
• Experience working on interdisciplinary teams involving scientists or domain experts
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Excellent interpersonal and human relations skills.

After an offer of employment is made the candidate must successfully pass a pre-employment background check drug screening and a DMV records check that meets WESTs minimum criteria to operate a motor vehicle on behalf of the company. A valid drivers license will be required.

WEST provides equal employment opportunities to all individuals regardless of their race color religion gender identity or expression age sex sexual orientation national origin disability status genetics and any protected veteran status and any other characteristic protected by federal state or local law. Further WEST takes affirmative action to ensure that all individuals are treated fairly and without discrimination for recruitment selection advancement and every other term and privilege associated with employment.