Senior Machine Learning EngineerInovalonfull-timeRequired skillsPythonAirflowAWSAzurebackendbig data technologiescontainerizationdata pipelinedata structuresDjangoDockerfrontendGCPHadoopJSKafkaKubernetesmachine learningNodeReactSparkTensorFlowPytorchAbout the role Inovalon Website: inovalon.com Job details: Qualifications:Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.Experience: Minimum of 5 years of experience in machine learning, with a proven track record of deploying models in production environments.Technical Skills:Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).Proficiency in building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).Strong knowledge of data structures, algorithms, and software engineering best practices.Familiarity with big data technologies (e.g., Hadoop, Spark) and data pipeline tools (e.g., Airflow, Kafka).Experience with frontend and backend development, including frameworks such as React, Node.js, and Django.Domain Knowledge: Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus. Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.