3Pillar Global is hiring a
Senior AI/ML Engineer

Summary

The job is for a Senior AI/ML Engineer at 3Pillar Global. The role involves contributing to data analytics projects, identifying AI/ML opportunities, developing innovative solutions, optimizing and fine-tuning AI/ML models, conducting experiments, maintaining documentation, staying updated with the latest AI/ML research, and mentoring junior engineers. The company offers a flexible work environment, global team collaboration, focus on employee well-being, professional development opportunities, and equal employment opportunities.

Requirements

• Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related fields
• Ideally 1+ years of experience in building AI models with ML, NLP and deep learning
• Strong interest in AI and a strong desire to do AI research
• Python and Python ecosystem for AI/ML development
• Familiarity with LLM concepts, information retrieval, recommendation engines and predictive AI
• Prompt engineering skills
• Data engineering skills. Ability to help write scripts to move data, clean data, and shape data for usage with LLMs
• Familiarity with tooling and APIs using inference engines hosted elsewhere, e.g. on openai.com

Responsibilities

• Collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions
• Implement and deploy AI/ML algorithms and models into production environments
• Optimize and fine-tune AI/ML models to improve accuracy and efficiency
• Conduct experiments, perform data analysis, and present findings to stakeholders
• Develop and maintain documentation for AI/ML algorithms, models, and solutions
• Stay up-to-date with the latest AI/ML research and technologies and apply them to improve our platform
• Mentor and provide technical guidance to junior AI/ML engineers or team members

Preferred Qualifications

• Good Software Engineering Background. NodeJS, React Service Component with NextJS
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Experience in working with huge datasets in a production environment is a plus
• Knowledge of AI/ML techniques, algorithms, and frameworks. Familiarity with Langgraph/Langchain
• Strong analytical and problem-solving skills, with attention to detail
• Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences
• Familiarity with Python libraries such as PyTorch, TensorFlow, and Scikit-Learn

Benefits

• Flexible work environment – whether it's the office, your home, or a blend of both
• Global team collaboration
• Well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing
• Professional development opportunities
• Equal-opportunity employer