MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Intermediate AI/ML Engineer designing and deploying machine learning solutions for video security. Join Solink to transform video security into real-time operational insights in a hybrid work environment.
Responsibilities
- Design, develop, train, and deploy ML models - including computer vision, LLMs/VLMs, and multimodal models - across cloud and embedded environments.
- Evaluate, recommend and help integrate third-party AI/LLM/VLM services, balancing cost, performance, and applicability to customer use cases.
- Participate in the full SDLC - from proof of concept, to integration with backend services, UX development, deployment, troubleshooting, and bug fixing.
- Contribute to MLOps pipelines supporting data preparation, experimentation, training, evaluation, model versioning, serving, monitoring, and continuous improvement.
- Work on model filter chain development and ML engineering - optimizing for cost efficiency and model effectiveness.
- Collaborate with engineering and product teams to define model requirements and translate customer problems into valuable predictive insight features.
- Adhere to best practices for quality, observability, alerting, and performance tuning.
Requirements
- 3+ years of experience building and deploying production-grade software and integrating ML models into customer facing solutions.
- Experience in Python and ML frameworks such as PyTorch or TensorFlow.
- Experience developing either front end or backend features with one or more of Node.js, React, Rust, JavaScript or TypeScript.
- Hands-on experience training, fine-tuning, evaluating, and optimizing ML models.
- Experience contributing to MLOps pipelines (data pipelines, labelling, experimentation, serving, monitoring, retraining).
- Demonstrated ability to evaluate third-party LLM/VLM and AI services and make informed recommendations.
- Comfort with contributing to all parts of the SDLC - from requirements validation, to software development, to quality and observability of complete systems.
- Ability and interest in working across both ML and software engineering stack (cross functional imperative).
- Excellent communication skills and ability to explain ML concepts clearly to technical and non-technical audiences.
Benefits
- Fully paid health & dental (no waiting period) + $500 health spending account for full-time, permanent Solink employees.
- Monthly reimbursement for fitness, wellness, or mental health programs for all Solink employees.
- Meaningful equity: Every full-time, permanent employee has a stake in our growth.
- Advancement is based on contribution, initiative, and the ability to raise the bar - together.
- Clear expectations, honest feedback, and no politics.
- From So-learns to Solink-o and So-lunches, we stay connected in ways that actually feel fun.
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