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Conversational AI
3 weeks ago
Job Description:
">As a Conversational AI & Data Analytics Solutions Architect, you will be responsible for driving the development of innovative products and solutions. Your key focus areas include conversational AI, data analytics, and enterprise software architecture.
">
• Collaborate with cross-functional teams to design and develop cutting-edge solutions.
• Lead the technology direction and provide technical leadership to ensure successful project delivery.
• Work closely with stakeholders to understand business needs and develop tailored solutions that meet those needs.
• Develop and maintain in-depth knowledge of emerging technologies and trends in conversational AI and data analytics.
• Stay up-to-date with industry developments and apply this knowledge to drive innovation and growth within the organization.
• Build and maintain strong relationships with internal and external partners to promote collaboration and knowledge sharing.
Required Skills and Qualifications:
">• 3+ years of experience in designing and developing conversational AI and data analytics solutions.
">• Strong background in software architecture, solution design, and project management.
">• Excellent analytical, problem-solving, and communication skills.
">• Proficiency in Python, natural language processing, and machine learning techniques.
">• Experience with cloud-based platforms, AWS, Azure, or IBM Watson.
">• Hands-on experience with tools like Dialogflow, Azure BOT, or similar technologies.
">• Solid understanding of database concepts, SQL, and relational databases.
">• Ability to work independently and as part of a team to achieve project goals.
">Benefits:
">• Competitive salary and benefits package.
">• Opportunities for professional growth and development.
">• Collaborative and dynamic work environment.
">Others:
">• Must have a Bachelor's degree in Computer Science or related field.
">• Be able to clearly articulate a data science problem and work on solutions independently.
">• Real-time experience in production code deployment using Kubernetes or Docker is a plus.
">• Good exposure to Tableau, Power BI, or other data visualization tools.
">,