| Machine Learning Engineer - Healthcare domain - Dallas, TX (Hybrid, Local) - USC & GC at Dallas, Texas, USA |
| Email: [email protected] |
| From: Deepshikha Dixit, DRK America LLC [email protected] Reply to: [email protected] Hi, Hope you are doing great!! Please let me know your interest in the below role- Machine Learning Engineer Dallas, TX ( Hybrid, Local only) 12+ Months contract Visa: USC and GC only 3 Zoom interviews with Screen sharing Healthcare experience A summary of skillset requirements from the discussion with the client: Open source model: Amazon SageMaker, Azure Kubernetes, scaling, running a model and training, Snowflake, batch inference: weekly inference, PyTorch, XGBoost, TensorFlow, Docker image, container, performance efficient SQL query, data distribution based modeling, Azure Kubernetes, pipeline developer, PySpark, Databricks. No Data Scientist they dont want that background Looking for 8+ years experience They want them still to be hands on with code, but able to mentor junior staff- someone who has done that They use an open source model Design, implement, and optimize machine learning algorithms and models. Neural networks (Graph neural network), Deep learning & transformers (Temporal Fusion Transformer ), NLP, gradient boosting using open source machine learning frameworks tensorflow, pytorch, XGBoost, LightbGM Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data. Ability to translate functionality into scalable, tested, and configurable platform architecture and software. Establish strong software engineering principles for development in Python on the Azure Kubernetes Platform. Strong ownership of deliverables, with design decisions aligned to scale and industry best practices. Collaborate with cross-functional teams to align ML initiatives with overall business goals. Implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems. Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models. Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance. Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements. Python and SQL Hands-on Coding experience Thanks & Regards, Deepshikha Dixit | Lead HR DRK America LLC |Naperville, IL 60563 [email protected] Keywords: machine learning green card Illinois Texas Machine Learning Engineer - Healthcare domain - Dallas, TX (Hybrid, Local) - USC & GC [email protected] |
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| Tue Jun 04 01:37:00 UTC 2024 |