Design, develop, train, and deploy ML models—including computer vision, LLMs/VLMs, and multimodal models—across cloud and edge/embedded environments.
Own ML-driven features end-to-end: from proof of concept and experimentation to integration, deployment, instrumentation, and ongoing improvement.
Evaluate and integrate third-party AI/LLM/VLM services, balancing cost, performance, and applicability for customer-facing use cases.
Build and maintain MLOps pipelines supporting data preparation, experimentation, training, evaluation, model versioning, serving, monitoring, and continuous improvement.
Collaborate with engineering and product teams to define model requirements and translate customer problems into valuable predictive insight features.
Implement best practices for quality, observability, alerting, and performance tuning related to AI services and ML model behavior.
Integrate ML components with Solink’s broader platform, including backend services and edge processing systems.
Develop automated tests for ML and software components to ensure stable, reliable releases.
Troubleshoot and resolve production AI/ML issues while driving long-term architectural improvements.
Stay current with advancements in computer vision, generative AI, LLM/VLM architectures, and applied machine learning.

Requirements

7+ years of experience building and deploying production-grade software and integrating ML models into real products.
Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
Hands-on experience training, fine-tuning, evaluating, and optimizing ML models (including model distillation or compression).
Experience implementing MLOps practices (data pipelines, experimentation, serving, monitoring, retraining).
Demonstrated ability to evaluate third-party LLM/VLM and AI services and make informed recommendations.
Experience building solutions for cloud environments (AWS preferred) or for edge/embedded systems (Ubuntu, AI accelerators, device hardware), with knowledge of performance trade-offs.
Strong software engineering skills, capable of delivering scalable, production-ready ML systems.
Excellent communication skills and ability to explain ML concepts clearly to technical and non-technical audiences.

Benefits

Flexible work where possible, with clear expectations and trust.
Meaningful equity for all full-time permanent employees.
Comprehensive benefits, including fully paid health & dental (no waiting period) + $500 HSA.
Wellness support with monthly reimbursement for fitness, wellness, or mental health.
Growth through merit — advancement is based on contribution and impact.
Transparent, candid culture with clear expectations and honest feedback.
Connection & community through So-learns, Solink-o, team events, and more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonMLOpsPyTorchTensorFlowcomputer visionLLMsVLMsmodel distillationmodel compressiondata pipelines

communicationcollaborationproblem-solvinganalytical thinkingadaptabilityattention to detailcreativitycritical thinkingleadershiptime management