Live opening · Posted 5 days ago

Generative AI Engineer

Signxpress India · Delhi, Delhi, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanySignxpress India
LocationDelhi, Delhi, India (On-site)
Work modeNo
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

Company DescriptionSignxpress India is a provider of innovative and high-quality PU Tactile Tiles. Braille Signage. and Road Safety Products. With a commitment to accessibility and quality. we cater to diverse industries and sectors across India.
Our Story
Signexpress India specializes in creating customized designs for Self Adhesive PU Tactile Tiles, fully compliant with C.P.W.D. and ISO 23599:2019 standards, backed by a 5-year warranty. We also provide a variety of speed breakers and road safety products, ensuring top quality under the guidance of an expert quality controller.
Qualifications
Strong foundation in computer science, including data structures, algorithms, and software engineering principles.
Hands-on experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) and familiarity with generative models (LLMs, diffusion models, transformers).
Proficiency in programming languages commonly used in AI development (e.g., Python) and experience building APIs or backend services (e.g., FastAPI, Flask, Django).
Knowledge of data processing, model training, evaluation, and optimization techniques, including prompt engineering, fine-tuning, and hyperparameter tuning.
Experience working with cloud platforms or MLOps tools (e.g., AWS, GCP, Azure, Docker, Kubernetes, CI/CD) for deploying and managing AI solutions in production.
Understanding of responsible AI practices, including privacy, security, bias mitigation, and transparent model documentation.
Ability to collaborate effectively with cross-functional teams, communicate complex concepts clearly, and translate business requirements into technical solutions.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field; equivalent practical experience is also considered.
Previous experience in AI/ML engineering, research, or applied data science is preferred; contributions to open-source projects or published work in AI are a plus.

Work arrangement
No

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