This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase. Leverage GCP for scalable big data
You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutio
You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into a production environment, ideally as part of product teams delivering to external customers. In this role, you will help lead the evolution of AcuityMD's core healthcare data a
Experience with R&D of machine learning algorithms. Experience with R&D of spatiotemporal data modeling. Experience with R&D of machine learning algorithms.
Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs. CapTech Machine Learning Engineers are responsible for designing
Big Data and distributed programming models and technologies and techniques such as Map Reduce, Sqoop, Hive, Hadoop Distributed File System (HDFS), Distributed Indexing and Databases (HBase, Hive, Cassandra, Vertica), Serialization Formats (JSON, Avro, Parquet), Pyspark, Spark, Scala, Hive Tuning, B
Key Responsibilities Helping clarify customer business outcomes during project discovery and translating them into data architecture and engineering solutions Designing and building data analytics applications that are secure, scalable, reliable, performant, and cost‑effective Collaborating wit