Artificial Intelligence Specialist

2 days ago


Hyderabad City Taluka, Pakistan beBee Careers Full time

Role Overview

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The Machine Learning Engineer will be responsible for designing and developing AI-driven software solutions, leveraging LLMs, reinforcement learning, and other AI techniques.

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Key Responsibilities

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  • Leverage LLMs, reinforcement learning, and other AI techniques to lead the design, development, and optimization of AI Agents.">
  • Architect and implement robust, scalable, and high-performance AI-driven software solutions.">
  • Develop APIs, frameworks, and tools to support AI Agent development and deployment.">
  • Collaborate with product managers, data scientists, and engineers to define AI-driven features and solutions.">
  • Optimize AI models for real-world deployment, ensuring efficiency, accuracy, and low latency.">
  • Stay updated with the latest advancements in AI and machine learning, incorporating best practices into the development lifecycle.">
  • Mentor and guide junior engineers in AI technologies and best practices.">
  • Ensure compliance with ethical AI guidelines, data security, and privacy standards.">
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Requirements

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  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.">
  • 8+ years of experience in software engineering with a focus on AI and machine learning.">
  • Proven experience in designing and deploying AI Agents, LLM-based systems, or reinforcement learning models.">
  • Strong programming skills in Python, Java, or C++.">
  • Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or OpenAI APIs.">
  • Expertise in cloud platforms (AWS, GCP, or Azure) and distributed computing.">
  • Strong knowledge of data structures, algorithms, and software architecture.">
  • Experience with MLOps, model optimization, and deployment in production environments.">
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.">
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Desirable Skills

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  • Experience with multi-agent systems, conversational AI, or autonomous decision-making AI.">
  • Familiarity with knowledge graphs, semantic search, or vector databases.">
  • Contributions to AI research, open-source projects, or publications in AI conferences.">
  • Experience leading cross-functional teams and driving AI projects from conception to deployment.">


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