About ProcDNA:
ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA.
What we are looking for:
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.
What you'll do:
• 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.
Must have:
• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• 5- 8 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.
