Machine Learning Engineer

Machine Learning Engineer

Dallas, Texas(Hybrid Role)

Consulting.

Apply only if you can work on W2 with us or if you have an independent corporation.

Looking for 8+ years experience

Hands-on with code, but able to mentor junior staff

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 Client initiatives with overall business goals.

• Implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate Client 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