• US Citizen

• Green Card

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 24th Dec 2025

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 don’t 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