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
- Senior AI/ML Engineer designing and deploying ML solutions for real-time video analytics. Collaborating across engineering, research, and software engineering to create scalable, reliable features.
Responsibilities
- 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.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Engineer building cloud - native data and ML platforms for Hive.co’s event - marketing automation products. Owning pipelines, model infrastructure, and audience - data systems at scale.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI - native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.
Director leading agentic AI and machine learning products for Instacart’s grocery technology platform. Building retailer solutions and guiding teams from strategy through production deployment.
New - grad software engineer building Quora’s distributed ML platform, model serving, and developer tooling. Supporting Quora’s global knowledge - sharing product with scalable GPU infrastructure.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions for TD banking. Evaluating models, managing AI lifecycles, and supporting responsible implementation.
Senior Machine Learning Engineer building conversational AI agents and production ML systems. Helping Numa automate automotive dealership service and sales through evaluation - first tooling and infrastructure.
Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
Senior ML Engineer developing debiased pCTR and conversion models for Instacart’s grocery advertising ecosystem. Advancing ranking, retrieval, and sequence modeling across ads surfaces.