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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in applied AI and machine learning, with a strong focus on computer vision, agentic AI workflows, and multimodal learning. Proficient in MLOps practices, model training, and deployment, with a proven track record of delivering production-ready AI solutions.
Highest-signal resume keywords
Applied AI/ML ExperienceMLOps PracticesComputer Vision ExpertisePython ProficiencyDeep Learning Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningComputer VisionModel TrainingFine-TuningFeature ExtractionObject DetectionSegmentationGeometric TransformationsEnd-to-End ML WorkflowsStatistical Intuition
Soft Skills
Excellent CommunicationIndependent OperationCross-Functional Collaboration
Tools & Technologies
MLOps ToolingAWSAzureGCPPyTorchTensorFlowJAXCI/CDContainerizationAPI Design
Industry Keywords
Generative AINLPMultimodal LearningEmbedded EngineeringCivic-TechRegulatory Compliance
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Serve as a forward-deployed AI expert across Clariti's product teams
- Turn machine learning research into production-ready features spanning LLMs, agentic AI workflows, computer vision, and multimodal learning
- Own computer vision and agentic AI problem domains
- Select and adapt architectures and training/fine-tuning strategies
- Design and execute experiments end to end
- Evaluate model performance and determine which approaches to pursue
- Identify high-impact opportunities to improve AI systems
- Make trade-offs across model accuracy, interpretability, latency, and cost
- Share experience with research teammates and improve experimental rigor
- Stay current on techniques, benchmarks, and tooling across computer vision, generative AI, NLP, and multimodal learning
- Embed with product teams and partner with product and engineering managers
- Scope problems, build proofs of concept, and take solutions through production using MLOps tooling and infrastructure
- Bring proposed approaches to the CivCheck AI Research team for design feedback
- Report into the CivCheck AI Research team while working day to day with product and engineering managers
Requirements
What you’ll need- 7–10 years of hands-on experience in applied AI/ML in industry
- Track record of shipping models and systems that solved real business problems
- Experience as the lead or sole AI expert on a project, taking work from proof of concept through production
- Fluency with MLOps practices and infrastructure, including CI/CD for models, containerization, deployment, and monitoring
- Ability to operate independently inside cross-functional teams
- Experience building agentic AI workflows and LLM-powered applications in production, including retrieval, tool use, evaluation, and guardrails
- Experience training and fine-tuning models using modern frameworks
- Experience with computer vision and image processing, including feature extraction, object detection, segmentation, and geometric transformations
- Familiarity with diffusion models, model distillation, or multimodal architectures in production
- Strong proficiency in Python
- Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks
- Experience with end-to-end ML workflows on AWS, Azure, or GCP
- Software engineering skills including Git, testing, API design, and modular code
- Experimental and statistical intuition
- Excellent communication skills
- Successful candidates must undergo comprehensive background checks
- Candidates must be able to participate in occasional travel for in-person meetings
- Bonus: experience in forward-deployed, embedded, or solutions engineering roles
- Bonus: experience developing high-accuracy computer vision systems under strict tolerances
- Bonus: exposure to construction, building, civic-tech, or regulatory/compliance domains
Benefits
Comp & perks- Competitive compensation packages
- Time off
- Benefits to keep you and your family healthy
- Occasional travel for in-person company-wide or departmental meetings, typically 1–2 times per year
- Accommodations and support during the application, interview, testing, and hiring process