Information Technology
Contract
Minutes to Seconds
Overview
MinutestoSeconds is a dynamic organization specializing in outsourcing services, digital marketing, IT recruitment, and custom IT projects. We partner with SMEs, mid-sized companies, and niche professionals to deliver tailored solutions.
Requirements
About the Role:
We are looking for an innovative and highly skilled AI / Generative AI Engineer to join our growing technology team. You will be responsible for building, fine-tuning, and integrating generative models such as GPT, DALL·E, Stable Diffusion, or custom transformers to power intelligent solutions across our products and services.
Key Responsibilities:
Requirements
About the Role:
We are looking for an innovative and highly skilled AI / Generative AI Engineer to join our growing technology team. You will be responsible for building, fine-tuning, and integrating generative models such as GPT, DALL·E, Stable Diffusion, or custom transformers to power intelligent solutions across our products and services.
Key Responsibilities:
- Design, develop, and deploy Generative AI models (LLMs, diffusion models, transformers) for real-world applications.
- Fine-tune foundation models using proprietary or domain-specific datasets.
- Integrate LLMs and generative models into production pipelines, APIs, and applications.
- Conduct research and experimentation on prompt engineering, model alignment, and retrieval-augmented generation (RAG).
- Collaborate with cross-functional teams including product managers, data scientists, and software engineers.
- Evaluate model performance and optimize for latency, accuracy, and ethical use.
- Stay updated with the latest in GenAI research (e.g., OpenAI, Hugging Face, Meta, Google DeepMind) and bring best practices to the team.
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
- 3+ years of experience in machine learning, with at least 1–2 years focused on Generative AI or NLP.
- Proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or OpenAI API.
- Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude), image generation models (e.g., Stable Diffusion), or speech models (e.g., Whisper).
- Strong understanding of deep learning architectures (RNNs, CNNs, transformers).
- Experience with MLOps, model serving (e.g., Triton, FastAPI), and scalable cloud deployment (AWS, GCP, Azure).
- Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, RLHF).
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines.
- Knowledge of ethical AI principles, bias mitigation, and responsible AI practices.
- Contributions to open-source projects or published research in AI/ML conferences or journals.
- Experience working with multi-modal models (text+image+audio).
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