Description
We are seeking a talented and experienced Cognitive Solutions Developer to join our team. As a Cognitive Solutions Developer, you will be responsible for designing, developing, and deploying intelligent solutions that leverage cognitive technologies such as natural language processing, machine learning, and artificial intelligence. Your role will involve working closely with cross-functional teams to understand business requirements, develop innovative solutions, and optimize system performance. Your advanced knowledge of Python and expertise in cognitive technologies will be crucial in delivering cutting-edge solutions that drive business value.
Responsibilities:
- Collaborate with stakeholders to understand business requirements and identify opportunities for cognitive solutions
- Design and develop intelligent applications using cognitive technologies such as natural language processing, machine learning, and AI
- Build and train machine learning models to extract insights and patterns from data
- Implement and optimize data processing and transformation pipelines
- Integrate cognitive solutions into existing systems and platforms
- Conduct testing and debugging to ensure solution accuracy and performance
- Monitor and maintain deployed cognitive solutions, performing regular updates and improvements
- Collaborate with data scientists and engineers to source and prepare data for cognitive applications
- Stay updated with advancements in cognitive technologies and propose innovative solutions
- Provide technical guidance and support to cross-functional teams
- Document design specifications, development processes, and best practices
- Continuously assess and improve the performance and efficiency of cognitive solutions
- Collaborate with stakeholders to define success metrics and measure the impact of cognitive solutions
- Ensure compliance with data privacy and security regulations
Tasks:
- Develop cognitive applications and services using Python and related libraries and frameworks
- Apply natural language processing techniques to analyze and extract insights from text data
- Build and train machine learning models using techniques such as supervised and unsupervised learning
- Implement data preprocessing and feature engineering techniques
- Integrate cognitive APIs and services into existing systems and applications
- Optimize algorithms and models for performance and scalability
- Develop interactive and user-friendly interfaces for cognitive solutions
- Conduct unit testing and debugging of cognitive applications
- Collaborate with data scientists to validate and evaluate models and algorithms
- Continuously monitor and analyze the performance of deployed cognitive solutions
- Implement updates and improvements based on user feedback and evolving business needs
- Stay updated with the latest advancements in cognitive technologies, frameworks, and libraries
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Provide technical guidance and support to junior developers and team members
Responsibilities:
- Collaborate with stakeholders to understand business requirements and identify opportunities for cognitive solutions
- Design and develop intelligent applications using cognitive technologies such as natural language processing, machine learning, and AI
- Build and train machine learning models to extract insights and patterns from data
- Implement and optimize data processing and transformation pipelines
- Integrate cognitive solutions into existing systems and platforms
- Conduct testing and debugging to ensure solution accuracy and performance
- Monitor and maintain deployed cognitive solutions, performing regular updates and improvements
- Collaborate with data scientists and engineers to source and prepare data for cognitive applications
- Stay updated with advancements in cognitive technologies and propose innovative solutions
- Provide technical guidance and support to cross-functional teams
- Document design specifications, development processes, and best practices
- Continuously assess and improve the performance and efficiency of cognitive solutions
- Collaborate with stakeholders to define success metrics and measure the impact of cognitive solutions
- Ensure compliance with data privacy and security regulations
Tasks:
- Develop cognitive applications and services using Python and related libraries and frameworks
- Apply natural language processing techniques to analyze and extract insights from text data
- Build and train machine learning models using techniques such as supervised and unsupervised learning
- Implement data preprocessing and feature engineering techniques
- Integrate cognitive APIs and services into existing systems and applications
- Optimize algorithms and models for performance and scalability
- Develop interactive and user-friendly interfaces for cognitive solutions
- Conduct unit testing and debugging of cognitive applications
- Collaborate with data scientists to validate and evaluate models and algorithms
- Continuously monitor and analyze the performance of deployed cognitive solutions
- Implement updates and improvements based on user feedback and evolving business needs
- Stay updated with the latest advancements in cognitive technologies, frameworks, and libraries
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Provide technical guidance and support to junior developers and team members
IBM
Business Development
Business Information Systems
CRM
Data Management
Software
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