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Senior AI Engineer

Posted about 18 hours agoViewed

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💎 Seniority level: Senior

🔍 Industry: AI marketing technology

🏢 Company: Bluefish AI

🗣️ Languages: English

Requirements:
  • Previous experience in a similar role within the tech industry, with a deep understanding of the practical applications and challenges of deploying LLMs in real-world scenarios.
  • Strong theoretical and practical knowledge of machine learning and NLP.
  • Extensive experience with training and deploying machine learning models, particularly withing the NLP/LLM domain. Proficiency in Python, ML frameworks and tools.
  • Strong analytical and problem-solving abilities. Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Proven track record of driving innovation in AI and NLP projects. Ability to think outside the box and develop creative solutions to challenging problems.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.
Responsibilities:
  • Lead the development, training, and fine-tuning of large language models and LLM-driven solutions to tackle intricate NLP tasks.
  • Implement and refine a robust, scalable architecture in production environments to ensure optimal performance.
  • Evaluate and enhance the performance of existing models to uphold the highest standards of accuracy, efficiency, and reliability.
  • Proactively address challenges concerning data quality, bias mitigation, and model interpretability.
  • Keep abreast of the latest advancements in NLP and AI research, conduct experiments, and prototype new ideas to push the boundaries of LLM capabilities.
  • Collaborate closely with cross-functional teams, including software engineers and product managers, to conceptualize and shape innovative and impactful solutions.
  • Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.
  • Continuously assess and integrate emerging technologies and best practices to enhance the effectiveness and efficiency of LLM-based solutions.
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