Sr. Machine Learning Engineer

Empresa: AppCast
Provincia: España
Población: 
Descripción: Whether you’re an experienced professional or just getting started, your contributions matter at Fortra. If you’re passionate about tackling meaningful challenges alongside talented team members committed to helping each other succeed, all while having lots of fun, we want to hear from you. We offer competitive benefits and salaries, personal and professional development opportunities, flexibility, and much more! This position is responsible for developing, enhancing, and maintaining our Machine Learning pipelines and data science solutions including data pipelines, infrastructure, and deployment of machine learning models. The scope of the role includes both existing software products and new products in development. The ideal candidate has a strong commitment to excellence, brings a wealth of expertise in ML Engineering, is a creative problem solver, and a team player. WHAT YOU´LL DO Lead highly complex ML engineering projects with extensive latitude for independent judgment. Design, develop, document, test, and debug software engineering solutions for both customer-facing applications and internal use. Deploy, scale, and maintain machine learning models in production environments. Develop scalable ML architecture and pipelines. Collaborate with data scientists to optimize, test, and evaluate ML models. Identify and evaluate new platforms and technologies to enhance our existing systems. Follow and help define and enforce our development best practices and standards. Provide mentorship and assistance to less experienced team members. Collaborate with architects and engineering managers to maintain development roadmaps and prioritize new features. Engage with data science and engineering teams to understand requirements and constraints for multiple products. Share your technical knowledge and MLOps framework expertise with team members. Maintain up-to-date knowledge of related MLOps and data science topics and technologies. Serve as the technical expert on the deployment and benchmarking of ML models including LLMs, and generative models. Acquire domain expertise in at least one cybersecurity application area. Write technical documentation based on architectural design and stated engineering requirements. QUALIFICATIONS At least 7 years of experience in engineering and/or data science roles is required with at least 1 year of senior role experience included. Multi-year experience as an ML engineer is desirable. Strong academic background (M.S or PhD program in a technical field) is an adequate substitute for a few years of industry experience. Thorough knowledge of software engineering and data science techniques and methodologies, and experience leading projects applying these methodologies. Extensive experience developing system architecture and solving engineering problems in at least one major programming language such as Python, Java, or C++. Comprehensive MLOps background and expertise in data processing, model...
Tecnologías: Machine Learning, MLflow, Kubeflow, Python, Java, C++,
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: Más de 5 años
Funciones: Inteligencia Artificial/Machine Learning - Programador
Descubre más: https://www.tecnoempleo.com/sr-machine-learning-engineer-appcast/machine-learning-mlflow/rf-c2f81cce72d7a3cf8c47