Gen AI Engineer

Covetus; Irving (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Covetus seeks an experienced AI/ML engineer to design and deploy cutting-edge AI solutions across multiple domains. You will collaborate with engineers, researchers, and product managers to translate business needs into technical specifications for AI models, while gathering, cleaning, and preparing data for high-quality training and evaluation.

You will explore state-of-the-art techniques in deep learning, NLP, and computer vision, assess model architectures, and optimize hyperparameters to

Qualifications

• Proficiency in Python and major ML libraries.
• Experience with open-source Gen AI LLMs (e.g., Llama, Dolly).
• Strong background in supervised/unsupervised learning, neural networks, transformers.
• Working knowledge of GANs, text-to-image and text generation models.
• Data wrangling with SQL, data cleaning, feature engineering.
• Exposure to AWS/Azure/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 business needs into AI model specs.
• Gather, clean, and prepare data for training and evaluating sophisticated AI models with quality & ethics in mind.
• Explore and apply state-of-the-art AI techniques including DL, NLP, and computer vision for specific needs.
• Evaluate and compare AI model architectures and hyperparameters to optimize performance and address bias.

Skills

Python

Gen AI LLMs

ML & NLP

Generative AI

SQL

Cloud platforms

Tools

CI/CD

Job description

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

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.