C

Senior AI Engineer

Covetus • United State
Relocation
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AI Summary

Design, develop, and implement advanced AI solutions to solve complex business problems. Collaborate with engineers, researchers, and product managers to understand business needs. Gather, clean, and prepare data for training and evaluating sophisticated AI models.

Key Highlights
Design and implement advanced AI solutions
Collaborate with cross-functional teams
Gather and prepare data for AI models
Key Responsibilities
Design, develop, and implement advanced AI solutions
Collaborate with engineers, researchers, and product managers
Gather, clean, and prepare data for training and evaluating sophisticated AI models
Technical Skills Required
Python Machine Learning Deep Learning
Benefits & Perks
Relocation will be fine
Five days onsite
Nice to Have
Generative AI techniques
Hyperscalers

Job Description


Experience: Minimum 7 years and more

Location: Irving, TX (Five days onsite) relocation will be fine


Job 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 need

s5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development.


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