onsite
ML Engineer
ML Engineer
Rooter.gg is seeking a highly motivated ML Engineer with 3+ years of experience to build and deploy real-world machine learning and deep learning applications. This role involves developing ML Ops processes, designing real-time data systems, and partnering with data scientists to test and deploy models.
About the role
What are we looking for?
We are looking for a highly motivated and a self-starter to help understand and build predictability across various funnels and support, create and launch important deep learning product initiatives.
Responsibilities
- Masters/Bachelors with 3+ years of experience in building/deploying real-world machine learning/Deep learning applications
- Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL
- Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning
- Develop ML Ops processes to support training and deployment of models based on DevOps and CI/CD principles.
- Design systems to provide real-time data for real-time machine learning models
- Partner with Data Scientists to test, validate and deploy Machine Learning and Optimization models
- Build and extend ML Frameworks, API connectivity and libraries to meet requirements.
- Establish processes by which models can be trained, retrained and Fine Tuned
- Experience in AWS, GCP, Big Query, Sagemaker or any cloud based ML tool
Skills
Machine LearningDeep LearningDeep Learning algorithm techniquesopen source toolsstatistical toolsPythonRSQLBig Data platformsHadoopHiveSparkGPU clustersMl OpsDevOpsCI/CDAWSGCPbig querySagemaker