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Business intelligence consultant Jobs in Spokane Valley, WA
- Promoted
Artificial Intelligence Engineer
Green Key Resourceswashington, WA, United States- Promoted
Artificial Intelligence Engineer
Mindlancewashington, WA, United States- Promoted
Sr Business Solutions Consultant - QNXT SME - Remote
Molina HealthcareSpokane, WA, United States- Promoted
Controller / Consultant
Community Link ConsultingSpokane, WA, US- Promoted
Military Intelligence Officer
US Navy (Wavemaker) (USD)Spokane, WA, United StatesCompetitive Intelligence Marketing Manager
AvayaUnited States Remote, WA, USOpen Source Intelligence Analyst
German Marshall Fund of the United StatesWashingtonCompetitive Intelligence Market Research Manager
MaximusSpokane, WA, US- Promoted
Sales Consultant
US0102 Sysco Spokane, Inc.Spokane, WA, US- Promoted
Business Development Officer
Chesapeake Search Partnerswashington, WA, United States- Promoted
Human Intelligence Collector
United States ArmySpokane, WA, United States- Promoted
Business Analyst
Gridiron ITwashington, WA, United States- Promoted
Financial Consultant
Meron Financial AgencySpokane, WA, USBusiness Systems Consultant
Highmark HealthWA, Working at Home, WashingtonSr Enterprise Data & Business Intelligence Analyst
BECUWACompetitive Intelligence Engineer
Aditi ConsultingRemote, WAIntelligence PED Subject Matter Expert
Calhoun InternationalWashington, USFinance Manager- Business Intelligence
T-MobileWA, , Building 2Business to Business
Ace HardwareSpokane, WA, US- Promoted
Business Development Representative
New Home StarSpokane, WA, USArtificial Intelligence Engineer
Green Key Resourceswashington, WA, United States- Full-time
Position Summary :
In this role, you will work with data scientists, engineers, and stakeholders to design, deploy, and operationalize state-of-the-art AI / ML systems that solve complex business problems. You will also drive the innovation of MLOps platforms and processes for the full machine learning lifecycle - from model experimentation, to CI / CD pipelines, to model monitoring and retraining in production environments. You will leverage cloud AI / ML platforms, containerization, automation tools and processes to streamline AI / ML workflows.
Additionally, you will optimize AI / ML solutions for performance, scalability and cost. You will serve models via microservices, APIs and batch scoring pipelines integrated with data products and business applications.
You should have strong expertise in AI / ML platform engineering, modern data platforms, model
deployment pipelines, relevant cloud platforms and programming languages like Python. You should also have excellent problem-solving abilities, attention to detail and communication skills.
Primary Responsibilities :
- Collaborate with stakeholders and data scientists to translate business problems and requirements into ML solutions
- Engineer end-to-end AI / ML systems from prototyping to production deployment
- Design and implement AI / ML pipelines for data ingestion, transformation, model training, evaluation, and inference
- Choose and apply suitable ML algorithms and frameworks such as TensorFlow, PyTorch, Keras for model development
- Optimize model performance, accuracy and fairness using techniques like hyperparameter tuning, error analysis, and model governance
- Deploy and serve models using REST APIs, serverless functions, or microservices
- Monitor and maintain AI / ML solutions using AI / MLOps best practices and tools
- Enhance model scalability, performance and cost efficiency using cloud AI / ML platforms, containerization, and automation
- Build AI / MLOps discipline and practice
Requirements :
Education & Certificates
Professional Experience
Competencies & Attributes