Data-Driven AI Specialist

1 day ago

Lahore, Punjab, Pakistan beBee Careers Full time

**AI Analyst Position Overview**

  • We are seeking a highly skilled and passionate AI Analyst to play a critical role in the design and development of cutting-edge text and voice-based AI solutions leveraging Large Language Models (LLMs).
Key Responsibilities

The ideal candidate will work closely with cross-functional teams to create and implement AI-driven internal products that enhance operational efficiency, communication, and decision-making across the organization.

  • Develop and optimize high-quality text and voice-based AI models using advanced LLM techniques for various internal applications.
  • Work on both Natural Language Processing (NLP) and speech recognition systems to create seamless conversational experiences for internal tools.
  • Collaborate with engineering teams to deploy and integrate LLMs into production environments.
  • Identify opportunities for AI to streamline internal operations by designing solutions that improve communication, data retrieval, customer service automation, and knowledge management within the organization.
  • Own the end-to-end process from ideation to deployment of LLM-based internal products.
  • Collaborate with product managers, data scientists, and business stakeholders to understand requirements and deliver AI solutions that align with organizational goals.

This role combines technical expertise and creative problem-solving to design solutions that are robust, efficient, and scalable.

Requirements and Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, or Artificial Intelligence.
  • Relevant certifications in NLP, AI, or Machine Learning are a plus.
  • Proven experience in developing NLP-based and voice recognition solutions using latest LLMs.
  • Strong proficiency in Python, with expertise in libraries like Hugging Face, TensorFlow, PyTorch, and spaCy.
  • Experience in speech-to-text and text-to-speech technologies like DeepSpeech, Google Speech API, Kaldi.
  • Familiarity with cloud platforms like AWS, Azure, Google Cloud, Hugging Face for AI model deployment and scalability.
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques specific to NLP and voice applications.
  • Strong analytical abilities to troubleshoot and fine-tune models for optimal performance.
  • Creative and critical thinking to apply AI solutions to business problems and organizational needs.
  • Excellent communication skills to present complex AI concepts to non-technical stakeholders.
  • Ability to collaborate effectively across teams with strong interpersonal and leadership qualities.
Why This Role Matters

This position offers the opportunity to be part of an innovative team shaping the future of AI and contributing to the development of cutting-edge solutions.

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