| Job Opening || Senior Machine Learning Engineer (Onsite) Contract to Hire || at Houston, Texas, USA |
| Email: [email protected] |
| From: Vivek, Smartitframe [email protected] Reply to: [email protected] Note: Need a local candidate from TX Job Title : Senior Machine Learning Engineer Job Location : Houston, TX (Hybrid - Onsite) Job Type : Contract to Hire Responsibilities: Drive the development of an AI/ML platform that enables stakeholders to extract value from data by building graphical applications using composable blocks. Lead development of features with cross-functional teams with a high degree of autonomy. Architect, design, and implement backend data and ML pipelines and services with well-designed APIs using appropriate languages (e.g. Python, C++, Go, etc.) and technologies (e.g. Kubernetes, distributed batch and stream processing, etc.). Design and implement efficient, reusable, testable libraries and services. Learn quickly about AI & ML concepts, tools, and workflows. Work with product managers and designers to build new features. Lead development of features with cross-functional teams. Mentor junior engineers in the team. Minimum Qualifications: Bachelors degree in Computer Science (or related technical field) or equivalent practical work experience. 2+ years of experience with distributed large-scale Spark applications (100s of workers, TBs of data at-a-time) 2+ years of experience with streaming data (using any combination of Kafka, Samza, Flink, Spark Structured Streams) 2+ years of experience with Kubernetes 5+ years of experience writing code with one of Scala, Go, or Python You thrive on learning new technologies and dont believe in one-size-fits-all solutions. You should be able to adapt easily to our rapidly evolving business environment. You are a team player and are eager to help shape the culture of a small team that will be the foundation of something big. Excellent communication skills. Keywords: cplusplus artificial intelligence machine learning golang Texas |
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| Tue Aug 01 01:13:00 UTC 2023 |