HatchPros Inc is Hiring a Machine Learning Engineer - Hybrid in HOUSTON, TEXAS Near Houston, TX
T S USC/GC Hybrid day 1 Skill Highlights- please indicate the # of years on each of the following skills:
Machine learning algorithms
Neural networks
Deep learning frameworks
TensorFlow
Keras
PyTorch.
Data preprocessing, feature engineering, and model evaluation is valuable
MLops - serving and life cycle of model
Visa StatusLocation: Availability To InterviewAvailability to start: LinkedIn ProfilePhone Number: Email AddressLast 4 of SSN: MM/DD Of BirthMachine Learning Expertise:
Understanding machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, Keras, PyTorch) is essential.
Knowledge of data preprocessing, feature engineering, and model evaluation is valuable
MLops - serving and life cycle of model
Deployment
Data Architecture: Knowledge and ability to implement models, policies, rules and standards that govern how data is stored, arranged and integrated for business intelligence and analytic
Technical Skills - Data Movement & Transformation: Knowledge of tools, techniques, and processes to move (including extract, transform and load) an organization's electronic data, including
Ability to configure Azure Data Factory as an orchestration methodology for data movements
Understanding of integration runtimes and its use in data integration
Ability to leverage Databricks notebooks for transformations
Expertise in Azure Data Lake storage and security configuration
Expertise in Azure Data Warehouse Synapse, Azure Database, and Azure Analysis Services technologies including development of optimized stored procedures, indexes, views
Understanding of Logic Apps and Flows and its applicability in starting and stopping services
Understanding of Kimball methodology for data warehouse lifecycle
Experience with coding in SQL and scripting languages such as Python
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business.
Learning Agility: Rapidly acquires new knowledge and learns new skills; can work productively in uncertain environments where roles and work are not clearly defined; finds opportunities in ambiguity; can identify opportunities for change; embraces and adapts to change; leans on credible sources from outside own group