AI Engineer

MeeBoss; Denver (CO); Hybrid; USD 120,000 - 180,000; Full time

Job summary

MeeBoss in Denver, CO is seeking an AI Analytics Engineer to design and optimize AI/ML models that enhance decision-making, build scalable data pipelines, and integrate advanced analytics into business processes. You will leverage LLMs for NLP tasks, improve customer interactions, and stay current with AI advances to deliver solutions aligned with MeeBoss goals.

The role demands strong ML, data engineering, Python/R, SQL, cloud familiarity, and cross-functional collaboration to translate

Qualifications

• Strong proficiency in machine learning and data engineering.
• Expertise in developing and deploying AI/ML models.
• Experience with Large Language Models (LLMs) and natural language processing.
• Proficiency in programming languages such as Python or R.
• Advanced SQL skills for data manipulation and querying.
• Familiarity with data pipeline tools and frameworks.
• Ability to collaborate with cross-functional teams.
• Strong problem-solving and analytical skills.
• Knowledge of cloud platforms and services.
• Understanding of Client's business objectives and strategy.
• Robust prompting strategies and results validation.

Responsibilities

• Strong proficiency in machine learning and data engineering
• Expertise in developing and deploying AI/ML models
• Experience with Large Language Models (LLMs) and natural language processing
• Proficiency in programming languages such as Python or R
• Advanced SQL skills for data manipulation and querying
• Familiarity with data pipeline tools and frameworks
• Ability to collaborate with cross-functional teams
• Strong problem-solving and analytical skills
• Knowledge of cloud platforms and services
• Understanding of Client's business objectives and strategy
• Robust prompting strategies and results validation.

Skills

Machine Learning

Data Engineering

LLMs

Python

R

SQL

Data Pipelines

Cloud Platforms

Collaboration

Problem Solving

Job description

Location: Denver, CO (onsite)

Job Summary:

The AI Analytics Engineer will design and optimize AI/ML models to enhance Client's decision-making capabilities. This role involves creating scalable solutions, managing data pipelines, and integrating advanced analytics into business processes. The ideal candidate will have expertise in machine learning, data engineering, and Client's objectives.

Additionally, they will leverage Large Language Models (LLMs) for natural language processing, improving customer interactions and automating content generation. Staying updated on LLM advancements to innovate solutions that align with Client's goals is essential.

1. Strong proficiency in machine learning and data engineering

2. Expertise in developing and deploying AI/ML models

3. Experience with Large Language Models (LLMs) and natural language processing

4. Proficiency in programming languages such as Python or R

5. Advanced SQL skills for data manipulation and querying

6. Familiarity with data pipeline tools and frameworks

7. Ability to collaborate with cross-functional teams

8. Strong problem-solving and analytical skills

9. Knowledge of cloud platforms and services

10. Understanding of Client's business objectives and strategy

11. Robust prompting strategies and results validation.