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
- Machine Learning Engineer at Sumsub building ML solutions combating fraud and identity theft. Work with global teams in a fully remote setting allowing product autonomy.
Responsibilities
- Own the full ML lifecycle from data collection to ongoing quality assessment.
- Train CV/ML models to detect deepfakes and uncover complex anomaly patterns.
- Balance research and speed in model building and heuristic solutions.
- Serve models efficiently with FastAPI and PyTorch, integrating with Java backend.
- Build and monitor ML pipelines and dashboards with tools like Airflow and ClickHouse.
Requirements
- 4+ years of experience as an ML / CV Engineer in fast-paced, high-load product environments.
- Strong background in deep learning frameworks (PyTorch is our go-to).
- Fluent with data work: labeling, collection, navigating data space.
- Solid grasp of training distribution and production relations.
- Familiar with current research, latest baselines, and architectures.
- Autonomous product owner, taking ideas from inception to implementation.
- Proactive communicator aligning with PMs and backend teams.
Benefits
- Remote-first, trust-based culture.
- True flexibility and no mandatory office days.
- Extra time off including birthday as a holiday.
- Fair and transparent pay, benchmarked to the market.
- Growth built in with goals, feedback, and personal development plans.
- Team offsites covered by the company for collaboration and recharge.
- Tools and hardware provided to do your work well.
Job title
Job type
Experience level
Salary
Not specified
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.