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AI Lead Engineer, Prompt Engineering, RAG, LLMs
3Pillar GlobalSenior AI/ML Engineer responsible for reshaping data analytics for clients at 3Pillar Global. Actively contributing to AI/ML projects within a dynamic team environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML model development, optimization, and deployment, with strong proficiency in Python and relevant libraries. Capable of conducting data analysis, mentoring team members, and effectively communicating complex concepts to diverse audiences.
Highest-signal resume keywords
AI/ML Model DevelopmentPrompt EngineeringPython ProgrammingData Engineering SkillsExperience with LLM Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML AlgorithmsDeep LearningNatural Language ProcessingData AnalysisModel OptimizationPython LibrariesScikit-LearnPyTorchTensorFlowData Cleaning
Soft Skills
Analytical SkillsProblem-Solving SkillsAttention to DetailCommunication SkillsMentoring
Tools & Technologies
Inference EnginesAPIsOpenAI ToolsProduction EnvironmentsDocumentation Tools
Industry Keywords
AI ResearchMachine LearningLarge Language ModelsRecommendation EnginesPredictive AI
Tech Stack
Tools & technologiesPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related fields.
- Ideally 5+ years of experience in building AI models with ML, NLP and deep learning.
- Strong experience in Prompt Engineering.
- Strong interest in AI and 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.
- Data engineering skills, ability to help write scripts to move and clean data for usage with LLMs.
- Familiarity with tooling and APIs using inference engines hosted elsewhere, e.g. on openai.com.
- Good Software Engineering Background (additional experience desired).
- Experience in working with huge datasets in a production environment is a plus.
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication skills, ability to present complex technical concepts to both technical and non-technical audiences.
- Familiarity with Python libraries such as PyTorch, TensorFlow, and Scikit-Learn.
- Proven ability to work independently and with a team.
Benefits
Comp & perks- Flexible work environment – whether it's the office, your home, or a blend of both.
- You will be part of a global team, learning from top talent around the world and across cultures.
- We’re big on your well-being – focus on wellbeing, fitness offerings, mental health plans or generous time off.
- Our professional services model enables us to accelerate career growth and development opportunities.
- We are an equal opportunity employer, committed to diversity.