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Bright Prospect is seeking an experienced AI/ML engineer to design, develop, and maintain AI-powered solutions including chatbots and AI agents. You will research AI technologies to boost business efficiency and productivity, and implement workflows that integrate business systems via APIs.
The role emphasizes robust data handling, secure systems, and scalable MLOps practices. Key focus areas include building AI-powered search capabilities with vector databases, managing data analytics, and
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Bachelor's DegreeinComputer Science, IT, Data Science, AI, or related field.
Minimum 2 years of experience in AI, automation, system integration, or related technical roles.
Proficiency in Python, SQL, and AI/ML development tools.
Experience with AI agents, chatbots, LLMs, RAG (Retrieval-Augmented Generation), and AI-powered search engines.
Experience with cybersecurity, data analytics, and dashboarding tools.
Familiarity with vector databases, semantic search, knowledge retrieval systems, and API integration.
Knowledge of machine learning models such as ARIMA, LSTM, Prophet, Logistic Regression, Random Forest, and K-Means.
Familiarity with MLOps and Linux/Windows Server environments.
Proficiency in Business sytem such as ERP, POS, CRM and Cloud platforms (AWS, Azure, GCP) is an added advantage.
Strong problem-solving skills, critical thinking, and ability to work independently.
Bachelor's DegreeinComputer Science, IT, Data Science, AI, or related field.
Minimum 2 years of experience in AI, automation, system integration, or related technical roles.
Proficiency in Python, SQL, and AI/ML development tools.
Experience with AI agents, chatbots, LLMs, RAG (Retrieval-Augmented Generation), and AI-powered search engines.
Experience with cybersecurity, data analytics, and dashboarding tools.
Familiarity with vector databases, semantic search, knowledge retrieval systems, and API integration.
Knowledge of machine learning models such as ARIMA, LSTM, Prophet, Logistic Regression, Random Forest, and K-Means.
Familiarity with MLOps and Linux/Windows Server environments.
Proficiency in Business sytem such as ERP, POS, CRM and Cloud platforms (AWS, Azure, GCP) is an added advantage.
Strong problem-solving skills, critical thinking, and ability to work independently.
Design, develop, and maintain AI-powered solutions, including AI assistants, chatbots, AI agents, and LLM applications.
Research and implement AI technologies to improve business processes and productivity.
Develop workflow automation and integrate business systems through APIs and automation tools.
Build and optimize AI-powered search engines, semantic search, and knowledge retrieval systems using vector databases and LLMs.
Manage and optimize data flow, reporting, dashboards, and analytics for business decision-making.
Deploy and maintain machine learning models and AI solutions following MLOps best practices.
Support server, infrastructure, cybersecurity, backup, and system monitoring activities.
Identify opportunities to integrate AI into daily business operations and improve efficiency.