Generative AI Engineer @ Irving, TX / Tampa, FL / Edison, NJ :: Full Time

AceStack; Edison (NJ); On-site; USD 125,000 - 135,000; Full time

Job summary

AceStack in Irving, TX / Tampa, FL / Edison, NJ is seeking a senior AI engineer with 5+ years of hands-on experience to design and deploy advanced AI solutions across diverse business domains.

You will collaborate with engineers, researchers, and product managers to translate needs into robust AI models, data pipelines, and scalable solutions, while prioritizing data quality, ethics, and performance.

Qualifications

• Proficiency in Python with major ML libraries.
• Experience with open-source Gen AI LLMs (e.g., Llama, Dolly).
• Strong ML, NLP and deep learning fundamentals.
• Experience with Generative AI techniques (GANs, text-to-image, text generation).
• Data wrangling with SQL and feature engineering.
• Cloud platforms (AWS/Azure/GCP) a plus.

Responsibilities

• Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
• Collaborate with engineers, researchers, and product managers to translate needs into technical specifications for AI models.
• Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethics.
• Explore and implement state-of-the-art AI techniques, including deep learning and NLP, tailored to specific needs.
• Evaluate and compare different model architectures and hyperparameters to optimize performance and address biases.

Skills

Python proficiency with ML libraries

Open-source Gen AI LLMs

ML NLP DL fundamentals

Generative AI techniques

Data wrangling with SQL

Cloud experience (AWS/Azure/GCP)

CI/CD experience

Job description

Location: Irving, TX / Tampa, FL / Edison, NJ

Exp: 5+ years

$125k to $135k

Full Time

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
• Hyperscale’s : AWS, Azure, or GCP experience a plus

Good-to-Have

• cloud development projects with CI/CD Experience

Key Expectations from the Role

1. 1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
2. 2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
3. 3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
4. 4 Explore and implement state-of-the-8 AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs
5. 5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development