Generative AI Engineer
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Role details
Tech stack
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Job description
Role: EngineerRequired Skills: Artificial IntelligenceQualification: BACHELOR OF COMPUTER SCIENCEExperience: 2 - 4 YearsFunction: TECHNOLOGYApply By: 2026-10-16Desired Competencies (Technical/Behavioral Competency)Must-Have * Programming languages: Python (proficient) with major ML librariesExperience with opensource Gen AI LLMs e.g., Llama and DollyMachine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformersGenerative AI techniques: Experience with GANs, text-to-image generation, text generation modelsData wrangling & manipulation: SQL, data cleaning, feature engineeringHyperscalers : AWS, Azure, or GCP experience a plusGood-to-Have * On prem and cloud development projects with CI/CD ExperienceSN Key Expectations from the Role1 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 needs5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible developmentSalary Range: $80,000 to $95,000 per year
Requirements
Required Skills: Artificial Intelligence
Qualification: BACHELOR OF COMPUTER SCIENCE
Experience: 2 - 4 Years, 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
Benefits & conditions
Salary Range: $80,000 to $95,000 per year
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