Senior AI/ML Engineer

3Pillar Global Logo

3Pillar Global

πŸ“Remote - Romania

Summary

Join 3Pillar Global as a Senior AI/ML Engineer to lead the design and implementation of scalable ML systems. You will mentor junior team members, evaluate model architectures, explore cutting-edge techniques, and ensure ethical and impactful solutions. The role requires expertise in Python, APIs, databases, and cloud platforms, particularly GCP and its related services. Experience with Generative AI in production environments is crucial. 3Pillar offers a flexible work environment, global team collaboration, and a focus on employee well-being, including generous time off and wellness programs. Career growth and development opportunities are abundant within the company's professional services model. The company values diversity and inclusion.

Requirements

  • Be an excellent API Python Dev with 5+ years experience developing production solutions (i.e. security, performance, scalability, best practices, etc.)
  • Have solid API experience (i.e. FastAPI)
  • Have solid DB Experience (i.e. SQL)
  • Have 1-2 years experience of implementing GenAI in a production context
  • Demonstrate excellent problem solving in the context of GenAI projects
  • Have CI/CD Experience
  • Possess good communication skills, be personable, and adaptable to new ways of working / environment
  • Hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related fields
  • Have a minimum of 4+ years of experience in building AI models with ML, NLP and deep learning
  • Be proficient with Google Gemini LLM models
  • Have experience with GCP (Vertex AI, Cloud run, Cloud SQL, etc)
  • Be proficient with Python 3.12+
  • Have experience with FastAPI
  • Have experience with LangChain, Native Google GenAI SDK, LangGraph, LangSmith
  • Have experience with various open source packages depending on the use case needs

Responsibilities

  • Lead the design and implementation of scalable ML systems
  • Provide technical mentorship to junior team members
  • Evaluate model architectures
  • Explore cutting-edge techniques
  • Ensure solutions are both impactful and ethical
  • Perform GenAI application evaluation

Preferred Qualifications

  • Have a good understanding of Software Engineering processes
  • Have experience in working with huge datasets in a production environment
  • Have experience with vector databases (FAISS, Pinecone), RAG, Hugging Face
  • Have contributions to research papers, blogs, or open-source projects

Benefits

  • Work in a flexible work environment – whether it's the office, your home, or a blend of both
  • Be part of a global team, learning from top talent around the world and across cultures, speaking English everyday
  • Take advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off
  • Benefit from opportunities for career growth and development across projects, offerings, and industries

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