Machine Learning Engineer
# Machine Learning Engineer **5 Star Global Recruitment Partners** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Engineer]` `[AI-Engineer]` `[Data-Science-Engineer]` `[Software-Engineer]` `[Machine-Learning-Engineer-Jobs]` `[Machine-Learning-Engineering]` `[Machine-Learning-Engineering-Jobs]` `[Applied-Machine-Learning-Engineer]` --- ### About the Role Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: - Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams. - Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models. - Partner with data scientists to understand, implement, train, and design machine learning models. - Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform. - Construct optimized data pipelines to feed machine learning models. - Extend existing machine learning libraries and frameworks. - Develop processes, model monitoring, and governance framework for successful ML model operationalization. - Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results. - Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations. - Design and implement the best architectural practices in the delivery of data science use cases. Key skills/knowledge/experience: - 7+ years of experience in Machine Learning. - Extensive software engineering experience with strong working experience as a Machine Learning Engineer. - Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred. - Advanced proficiency with Python, Java, and Scala. - Strong computer science fundamentals such as algorithms, data structures, multithreading. - Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG. - Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch - In-depth experience building solutions using public clouds such as AWS, GCP. - Experience using ML platforms like SageMaker, H2O, DataRobot, etc. - Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc. - Experience managing relationships in a cross-functional environment with multiple stakeholders. - Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud. - Experience working in Agile/ Scrum development process. - Thought leadership and innovative thinking. - Excellent communication and collaboration skills. Originally posted on Himalayas
- Machine-Learning-Engineer
- AI-Engineer
- Data-Science-Engineer
- Software-Engineer
- Machine-Learning-Engineer-Jobs
- Machine-Learning-Engineering
- Machine-Learning-Engineering-Jobs
- Applied-Machine-Learning-Engineer
Наблюдалась 2026-10-10, впервые 2026-10-10, источник — Himalayas (JSON API).