Informacje o stanowisku

technologies-expected :

• SQL
• Python
• Django
• TensorFlow
• Langchain
• PyTorch
• scikit-learn
• Keras
• Pandas
• NumPy
• Matplotlib

• We’re looking for an experienced Python Engineer to join our dynamic team. The ideal candidate will be critical in connecting our systems and applications, building up the system architecture, contribute to the development of our AI chatbot platform and multiple other AI related solutions.
• This role presents an exciting opportunity to work in a fast-paced environment with some of the brightest minds in the industry.
• We have an exciting opportunity for an experienced Python Engineer focused on AI and Machine Learning, to join our team.
• We’re building out a two-sided marketplace for the chemical industry, which is responsible for 1/4th of global GDP. To support our mission, we’ve embarked on a project to allow our customers to easily find chemical compounds, formulations, and documents they may be interested in. This is specifically tailored to our industry, and our customers love it.
• This project has serious engineering challenges: efficiently ingesting data from several sources and keeping overall search performance and accuracy in check. We have a dedicated team whose sole purpose is to maintain a complex chemical taxonomy used everywhere in the project. We’re investing in automating as much of this process as possible to process a magnitude more data than we currently do.

• As a small, remote team, you’ll be empowered to work directly with leadership and the product team to make decisions about your code and the future of the product.
• Lead the development and optimization of our AI RAG agents. Ensuring seamless integration with OpenAI Chat API through langchain, Qdrant vector store, and Elasticsearch cluster.
• Design, implement, and maintain robust data processing pipelines that support the chatbots functionality and performance.
• Work closely with internal teams to integrate various internal APIs into the chatbot, enhancing its capabilities and user experience.
• Contribute to the overall system architecture, ensuring scalability, reliability, and performance of the AI chatbot platform.
• Write clean, efficient, and well-documented code. Implement best practices for testing, code reviews, and version control.
• Continuously evaluate and improve the chatbot’s performance, staying up-to-date with the latest advancements in AI, machine learning, and natural language processing.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.

• 5 years of commercial experience in Python ecosystem.
• 2 years of commercial experience in machine learning, data science, natural language processing, or related fields.
• Strong proficiency in Python and experience with AI libraries such as Langchain, TensorFlow, PyTorch, Scikit-learn, or Keras.
• Proficiency in data science tools and libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.
• Strong analytical and problem-solving skills focused on optimizing AI and machine learning models.
• Hands-on experience with vector stores, preferably Qdrant.
• Experience with API development and integration.
• Familiarity with data processing pipelines and associated tools.
• Proven ability to deliver high-quality software solutions on time and within scope. Demonstrable experience in leading or contributing significantly to AI or chatbot projects.
• Ability to work effectively in a collaborative team environment and contribute to the growth and success of the team.
• Fluent in speaking and writing English.

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