Generative AI Engineer

Tata Consultancy Services; Irving (TX); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

CI/CD Experience (Good-to-Have)

Job summary

Tata Consultancy Services is seeking a Generative AI Engineer to design, develop, and deploy advanced AI solutions across domains. The role emphasizes collaboration with research and product teams to translate business needs into scalable model pipelines.

You'll gather and clean data, evaluate model architectures, and apply state-of-the-art techniques in NLP, vision, and generation while ensuring ethical data practices and bias mitigation.

Job description

• 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

Job Description

Generative AI Engineer

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

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

Salary Range- $100,000-$120,000 a year

Qualifications

BACHELOR OF COMPUTER SCIENCE