| Machine Learning Engineer || Location:Hybrid Role- Dallas, TX || Duration:12 Month at Dallas, Texas, USA |
| Email: [email protected] |
| From: shashmita, VYZE INC [email protected] Reply to: [email protected] Role: Machine Learning Engineer Location: Hybrid Role- Dallas, TX, need local candidate must have proof of residency (no generated one please client is very strict on proofs) Duration: 12 Month Visa: USC, GC Only MOI: 2-3 zooms Must have updated LinkedIn Must have core Healthcare experience (make sure current project is Healthcare) Job description A summary of skillset requirement from the discussion with 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 o They use an open source model o Dallas is the location Dallas candidates are remote but they can meet in person occasionally. 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 Keywords: machine learning green card Texas Machine Learning Engineer || Location:Hybrid Role- Dallas, TX || Duration:12 Month [email protected] |
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| Wed Jun 05 01:33:00 UTC 2024 |