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, collaborating with team members, implementing and optimizing AI/ML algorithms, conducting experiments, 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

Benefits

• Flexible work environment – whether it's the office, your home, or a blend of both
• Part of a global team, learning from top talent around the world and across cultures
• Well-being focus – fitness offerings, mental health plans (country-dependent), generous time off
• Professional development opportunities - across projects, offerings, and industries
• Equal-opportunity employer – reinforcing commitment to diversity - globally and locally