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AI Engineer

RemoteMid-level
πŸ‡ΊπŸ‡Έ United States
Software Developer
Data science & Analytics

We are seeking a highly skilled and motivated AI Engineer with a strong background in Data Science to join our dynamic team. The ideal candidate will have excellent experience in production-level AI implementation and hands-on expertise in data clustering, data mining, and feature extraction.

Key Responsibilities

  • Develop and implement production-level Generative AI models within an agentic architecture.
  • Utilize local LLMs, OpenAI fine-tuning, and RAG techniques.
  • Design and optimize prompts for AI models to enhance performance and user interaction.
  • Work with embeddings to improve the accuracy and relevance of AI models.
  • Apply data science techniques to extract, cluster, and analyze data to drive AI model improvements.
  • Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
  • Continuously monitor and improve AI models to ensure high performance and accuracy.
  • Conduct research and stay up-to-date with the latest advancements in AI and data science.
  • Create and maintain comprehensive documentation for AI models and data science processes.

Requirements

  • Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.
  • Proven experience in developing and deploying Generative AI models in a production environment.
  • Strong proficiency in data clustering, data mining, and feature extraction techniques.
  • Experience with local LLMs, OpenAI fine-tuning, and Retrieval-Augmented Generation (RAG).
  • Proficiency in prompt engineering and working with embeddings.
  • Proficiency in programming languages such as Python and C#.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with MLOps practices and tools.
  • Knowledge of natural language processing (NLP) techniques and applications.
  • Prior experience in a startup or fast-paced tech environment.

What We Offer:

- Competitive salary and benefits package.

- Opportunities for professional growth and development.

- A collaborative and innovative work environment.

- The chance to work on cutting-edge AI projects with a talented and dedicated team.

If you are passionate about AI and Data Science and eager to contribute to impactful projects, we would love to hear from you.

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HopHR

HopHR

AI and ML/MLOps talent acquisition pioneer redefining the landscape with cutting-edge expertise in these fields. Lean and efficient work environment fostering innovation and excellence.

Artificial Intelligence
Machine Learning
Recruitment
Startups

LinkedIn

🏭technology, information and internet
πŸŽ‚2016

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