ProcDNA - Generative AI Developer
1 month ago
We are looking for Generative AI Developer to join our team of innovative and passionate developers who are creating cutting-edge AI solutions for various domains and challenges.
Responsibilities :
- Good/Basic understanding of full stack development (Python/ MERN stack) and cloud technologies such as Azure and AWS (important)
- DevOPS on cloud and good experience in using services such as Git, Terraform and others.
- Develop, test, and deploy AI models using state-of-the-art LLMs, Hugging face LLMs and others and libraries such as Llama index, and Lang chain.
- Create custom AI models to address unique challenges and improve existing processes.
- Optimize and fine-tune AI models for performance, accuracy, and scalability.
- Apply knowledge of Retrieval-Augmented Generation (RAG) and related methodologies to develop sophisticated AI solutions.
- Collaborate with cross-functional teams to understand requirements and deliver AI-powered features and enhancements.
- Stay abreast of the latest developments in AI, machine learning, and related fields to innovate and improve our offerings continuously
Qualifications :
- Bachelor's degree or higher in Computer Science or related field.
- 5+years of experience in AI development, with a strong focus on generative models, NLP, and image processing.
- Proficient in Python and other programming languages for AI development.
- Solid understanding of machine learning concepts, data processing, feature extraction, text summarization, and image processing techniques
- Familiarity with Retrieval-Augmented Generation (RAG) and other cutting-edge AI processes.
- Proven experience with OpenAI models, including but not limited to GPT (Generative Pre-trained Transformer), and the ability to develop custom models.
- Experience in working with large-scale datasets and cloud platforms.
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
- Strong communication skills and the ability to work collaboratively with a diverse team
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