Machine Learning Engineer

Mount Indie is looking for a Machine Learning (ML) Engineer with documented expertise to be responsible for researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments. A candidate who has experience analyzing large datasets with preprocessing data skills, data cleansing, and conducting data integrity and validation actions. A candidate who will design, develop, and integrate ML models and algorithms to address specific problems with detection of AI-generated and manipulated imagery, or introduction of pattern recognition for imagery. Successful candidates for this role must have critical thinking skills, be creative, curious, resourceful, and have a passion for conveying a wide range of information through research leading to deeper insights. The candidate may work independently but participate in project-wide reviews of requirements, system architecture, and detailed design documents. An ML Engineer must be able to collaborate well with a strong lean-forward attitude to shift knowledge left, deliver well, and produce quality results. The selected candidate will play a critical role in bridging research and operations, integrating advanced algorithms into operational workflows.

• Integrate and operationalize machine learning and computer vision models developed by research partners
• Apply algorithms to datasets and generate results aligned with project requirements
• Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization quality
• Adapt and optimize models for real-world conditions (compression, noise, format variability)
• Work with containerized solutions (Docker or similar) to support deployment and reproducibility
• Translate research concepts, theory, and technical reports into practical implementations and workflows
• Generate technical reports, visualizations, and summaries suitable for stakeholders
• Collaborate with internal teams and external partners to support integration and testing
• Participate in technical meetings and reviews within secure environments. Candidates must have a complete understanding and wide application of technical principles, theories and concepts. Working under only general direction, provides technical solutions to a wide range of difficult problems. Independently determines and develops approach to solutions.

Required Skills:

Clearance Level: TS/SCI

US Citizenship: Required

• Years of Experience: 5-7 Years relevant data science experience
• Education Level: Bachelor degree or Master's degree is required in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• 3+ years of experience in machine learning / computer vision / data science
• Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
• Experience working with image and/or video data
• Ability to understand and implement research-level algorithms from technical papers and reports
• Experience with model evaluation, validation, and performance analysis
• Familiarity with Linux-based environments and version control systems (e.g., Git)

Desired Skills:

• Experience with image forensics, alteration detection, or related analytics
• Experience working in classified environments
• Familiarity with containerization (Docker) and deployment pipelines
• Experience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI)
• Knowledge of synthetic data generation or explainable AI
• Ability to bridge theory and implementation
• Strong problem-solving and analytical skills
• Effective communication with both technical and non-technical stakeholders
• Comfortable working in structured, mission-driven environments

Relevant Certifications:

• Certifications in machine learning, data science, or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, IBM Machine Learning Professional Certificate, Google Professional Machine Learning Engineer Certification, IABAC: Certified Machine Learning Expert Certification, etc.