23 Machine Learning Engineer Jobs in Dallas, TX
Steneral Consulting is Hiring a Machine Learning Engineer Near Dallas, TX
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
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
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.
Job Summary
Contractor
$115k-145k (estimate)
05/30/2024
11/24/2024
The job skills required for Machine Learning Engineer include Python, Open Source, Software Engineering, Analysis, Kubernetes, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.
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