AI/ML Engineer

3 days ago


Bucharest, Bucureşti, Romania Sales Consulting Full time 60,000 - 120,000 per year


Responsibilities:

  • Work with business users to understand their needs, gaps and opportunities and able to convert their needs into workingproduction quality code;
  • Work with UI designers and front end development team to integrate AI capabilities into a best in class user experience/workflows;
  • Support, maintain and handle feedback to continuously improve and enhance the latest AI technology;
  • Evolve and improve AI software stack, keeping up on latest models/frameworks and tooling;
  • Prototype AI/ML-driven solutions and integrations with third-party APIs (e.g., Azure OpenAI), vendor products, and open source frameworks (e.g., LangChain);
  • Oversee technical feasibility studies and proof-of-concept projects to validate the potential impact of AI/ML solutions;
  • Manage the integration of tools with existing business processes and data source;
  • Ensure the quality and efficiency of automations through robust development practices and standards;
  • Coordinate with internal development and infrastructure teams to facilitate access to necessary data and systems for AI/ML tools.

Requirements:

  • Bachelor's or master's degree in Computer Science, AI, Data Science, or related field;
  • At least 5 years professional software development experience, with recent hands-on expertise in AI/ML, GenAI and supporting ecosystem (Azure Cloud, Vector Search, LangChain/Graph);
  • Advanced understanding of Python application architecture, including sync / async workers (celery/topics/queues);
  • Strong understanding of Web Application Architecture including ReactJS and SPA Applications;
  • Eagerness to continuously learn, teach and deliver;
  • Excellent problem-solving abilities and a strategic mindset;
  • Familiarity with data infrastructure and the latest industry standards for data security and privacy;
  • Strong written and verbal communication skills for effective articulation of complex ideas and collaboration across departments.

Nice to have:

  • Experience integrating DevOps practices into the product lifecycle for improved deployment and monitoring, including Docker;

    • Experience with web testing/scraping/scripting and automation tools (e.g., Selenium);

    • Experience with Web UI, React/NodeJS;

    • A foundational understanding of financial markets and various trading instruments or a willingness to learn.

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