Generative AI Engineer
Why This Role Stands Out
Advance your career as a Generative AI Engineer at iPeople Infosystems LLC, where you'll design and implement cutting-edge AI solutions with opportunities for continuous learning and growth in a collaborative hybrid environment. If you have a strong foundation in Python, ML libraries, and generative AI techniques, you'll thrive here, contributing to impactful projects and shaping the future of AI. Apply today to join a dynamic team and explore exciting challenges in the rapidly evolving field of artificial intelligence.
Quick Overview
Job Description
Job Title: Generative AI Engineer
Location: Irving, TX
Type: Fulltime Position
Job Description
Must Have Technical/Functional Skills
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 Google Cloud Platform 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
Skills
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