Generative AI Engineer

Datum Labs is hiring a Generative AI Engineer to build and optimize AI models like LLMs and diffusion models. If you’re excited about creating AI applications that solve real-world problems, we’d love to hear from you!

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Key Responsibilities:

• Develop and fine-tune generative AI models like LLMs, GANs, and diffusion models.

• Optimize AI models for performance, accuracy, and efficiency.

• Work with data engineers to build reliable data pipelines.

• Deploy models into production and create user-friendly applications.

• Stay updated on the latest AI advancements and experiment with new techniques.

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Requirements:

• Strong Python skills (PyTorch, TensorFlow, Hugging Face Transformers).

• Experience with LLMs, diffusion models, and prompt engineering.

• Familiarity with vector databases like Pinecone or Weaviate.

• Basic understanding of data pipelines and model deployment (MLflow, Docker).

• Bachelor’s or Master’s in Computer Science, AI, or a related field.

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Preferred Skills:

• Experience with cloud platforms like AWS, Azure, or GCP.

• Knowledge of MLOps tools and practices.

• Understanding of NLP and computer vision concepts.

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Soft Skills:

• Strong problem-solving abilities.

• Good communication and teamwork skills.

• Curiosity and willingness to learn new AI techniques.

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Perks & Benefits:

• Competitive salary based on experience.

• Performance-based bonuses.

• Learning and development opportunities.

• Supportive and collaborative work environment.

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How to Apply:

Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this position to hr@datumlabs.io. Or fill out the form here!.

Datum Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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