Senior Machine Learning Engineer

Job Description

What You´ll Do:

• Design and implement cutting-edge ML models using state-of-the-art technologies, including LLMs, Transformers, Reputation systems to detect and mitigate security threats like phishing, malware, and business email compromise.
• Develop robust services for automated threat triage, content anonymization, and the retrieval of security intelligence from vast datasets.
• Build and manage end-to-end Machine Learning pipelines for training, evaluation, and deployment of models for tasks such as threat forecasting and anomaly detection.
• Transform prototypes into production-ready data and ML applications that meet throughput and latency requirements.
• Work with a variety of models, from neural networks to tree-based algorithms, and manage them effectively using tools like MLflow.
• Champion the transition from manual processes to a fully automated MLOps environment, implementing CI/CD pipelines, testing, alerting, and advanced logging to ensure stability and scalability in production.
• Create and maintain ETLs to process large volumes of data for reporting, model training, and critical decision-making, ensuring data integrity and confidentiality.
• Collaborate closely with data scientists, security engineers, and other stakeholders to deploy and maintain core threat detection models in production.

Qualifications & Skills:

Essential

• Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field, or a Bachelor’s degree with equivalent senior-level industry experience.
• Experience contributing to multiple highly impactful machine learning projects with proven results.
• Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling, and experimentation.
• Hands-on experience in the NLP domain involving training, fine-tuning and productionizing transformer-based models for text classification / text-embeddings, with proven experience in LLMs and generative AI.
• In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX).
• Experience monitoring and maintaining performance of models over time in production, considering model/data drifts.
• Expertise in MLOps, including the use of tools like MLflow, Docker, and Kubernetes.
• A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#GraphicDesignJobsOnline #WebDesignRemoteJobs #FreelanceGraphicDesigner #WorkFromHomeDesignJobs #OnlineWebDesignWork #RemoteDesignOpportunities #HireGraphicDesigners #DigitalDesignCareers #Dynamicbrandguru