Gen AI Engineer

Acestack; Irving (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Acestack in Irving, TX is seeking a Gen AI Engineer to design and deploy cutting-edge AI solutions onsite. You will work with researchers, engineers and product managers to translate business needs into scalable AI models and manage data prep for training and evaluation.

Ideal candidates have strong Python and ML backgrounds, experience with LLMs and generative AI, and familiarity with cloud platforms (AWS/Azure/GCP) is a plus.

Qualifications

• Proficient in Python with major ML libraries.
• Experience with opensource Gen AI LLMs (e.g., Llama, Dolly).
• Strong ML, NLP and deep learning knowledge.
• Knowledge of generative AI techniques (GANs, text-to-image, text generation).
• Data wrangling with SQL, data cleaning and feature engineering.
• Cloud exposure with AWS, Azure or GCP is a plus.

Responsibilities

• Design, develop, and implement advanced AI solutions to solve complex business problems across domains.
• Collaborate with engineers, researchers, and product managers to translate needs into technical specs for AI models.
• Gather, clean, and prepare data for training and evaluating sophisticated AI models.
• Explore and implement state-of-the-art AI techniques, including DL, NLP, and CV, tailored to needs.
• Evaluate and compare AI model architectures and hyperparameters to optimize performance and reduce bias.

Skills

Python

ML libraries

Gen AI LLMs

NLP

Deep learning

Transformers

GANs

Text generation

Data wrangling

SQL

Data cleaning

Feature engineering

AWS

Azure

GCP

Job description

Job Title: Gen AI Engineer Location: Irving, TX (Onsite) Fulltime

Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Programming languages: Python (proficient) with major ML libraries
• Experience with opensource Gen AI LLMs e.g., Llama and Dolly
• Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers
• Generative AI techniques: Experience with GANs, text-to-image generation, text generation models
• Data wrangling & manipulation: SQL, data cleaning, feature engineering
• Hyperscalers : AWS, Azure, or GCP experience a plus

Good-to-Have

• On prem and cloud development projects with CI/CD Experience

Key Expectations from the Role

• 1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
• 2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
• 3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
• 4 Explore and implement state-of-the-"art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs
• 5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development