Gen AI Engineer

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

Job summary

Covetus seeks an AI/ML specialist to design and deploy advanced AI solutions onsite across Irving, Tampa, and Edison. You will collaborate with engineers, researchers, and product managers to translate business needs into model specs, prepare data for training, and apply cutting-edge NLP, DL, and computer vision techniques.

Ideal candidates have strong Python expertise, experience with Gen AI LLMs, GANs, and cloud platforms, plus data wrangling and CI/CD exposure.

Qualifications

• Proficient Python with major ML libraries.
• Experience with opensource Gen AI LLMs (Llama, Dolly).
• Strong ML, NLP & DL understanding (supervised/unsupervised).
• Experience with GANs, text-to-image generation, text generation models.
• Data wrangling with SQL and feature engineering.
• Cloud platforms (AWS, Azure, GCP) experience preferred.

Responsibilities

• Design, develop, and implement advanced AI solutions to solve complex business problems.
• 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 AI models, ensuring quality and ethics.
• Explore and implement state-of-the-art AI techniques, including NLP and computer vision, for specific needs.
• Evaluate architectures and hyperparameters to optimize performance and address potential biases.

Skills

Python

ML libraries

Gen AI LLMs

NLP & DL

Transformers

GANs

SQL

Cloud platforms

Tools

CI/CD

Git

Docker

Kubernetes

Job description

Location: Irving, TX / Tampa, FL / Edison, NJ (Full time onsite)

Description:

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

SN 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.