BE
Senior Machine Learning Engineer working on MLOps and Computer Vision for a tech company. Focused on building training pipelines and robust model operation systems.
About the role
- Senior Machine Learning Engineer developing predictive solutions for business challenges within healthcare. Leveraging GCP and Vertex AI to bridge data science and engineering.
Responsibilities
- Design, develop, and implement predictive models, machine learning algorithms, and decision engines to address complex business challenges
- Conduct experiments, tune hyperparameters, and apply advanced modeling techniques to improve the accuracy, scalability, and efficiency of new and existing models
- Partner with cross-functional stakeholders to translate business requirements into technical specifications for ML solutions
- Execute full-stack engineering tasks including data preprocessing, feature engineering, model deployment, API development, and integration with enterprise systems
- Engineer scalable, secure, compliant, and production-grade ML pipelines with modern cloud-native technologies
- Design and implement distributed training workflows, online inference systems, and low-latency serving architectures
- Propose new platform solutions and enhancements that improve capabilities and performance of existing scheduling systems and decision engines
- Partner with system architects to ensure adequate hardware, compute resources, and platform configurations (Kubernetes, Cloud Run) to support machine learning applications
- Define key metrics, monitoring frameworks, and automated alerts to continuously evaluate the performance and drift of deployed models
- Create clear, comprehensive documentation and support guides for newly implemented tools
- Provide technical guidance and mentorship to junior engineers and data scientists
Requirements
- 5+ years of experience in machine learning engineering, data science, or related technical role
- Strong proficiency with Python and AI/ML frameworks (LLMs, TensorFlow, PyTorch, Scikit-learn, etc.)
- Strong hands-on expertise with Google Cloud Platform (GCP), training, pipelines, deployment, BigQuery, and Airflow
- Solid understanding of software engineering principles, and API development
- Proven track record of building and deploying ML models into production systems at scale
- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) savings plan with match
- Paid time off
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Systems software expert in perception fusion and deep learning for autonomous vehicles at NVIDIA. Designing and prototyping multimodal perception solutions for enabling autonomous driving features across OEM partners.
Senior Machine Learning Engineer at IT Labs collaborating on AI solutions for engineering innovation. Design, develop, and deploy machine learning models in a hybrid work environment.
AI/Machine Learning Engineer developing AI solutions that transform health data into actionable insights. Leading initiatives to improve patient outcomes through advanced AI techniques.
Machine Learning Engineer developing data pipelines and optimizing machine learning models for Vanguard. Engaging with data science teams and internal stakeholders for innovative AI solutions.
Machine Learning Engineer responsible for developing central SaaS products for Fortnox in Växjö. Collaborating within an agile team to innovate and enhance machine learning solutions.
Machine Learning Engineer in FOX's Forward Deployed program. Building and monitoring production machine learning models within live systems while rotating across business units in the media industry.
Machine Learning Engineer developing robust algorithms and recommendation systems for Pluralsight, enhancing learner experiences and delivering content tailored to needs.
ML infra engineer tasked with building large - scale infrastructure for generative AI at Adobe. Involves extensive experience in deep learning, PyTorch, and cloud platforms.
Open Source Triage Lead managing GitHub repositories for Ultralytics, contributing to AI development and community support.