Senior Generative AI Engineer
2 days ago
We are seeking an experienced Generative AI Engineer with a strong background in Python development and machine learning to design, develop, and deploy advanced AI models and systems. The ideal candidate will have hands-on experience with LLMs (Large Language Models), multimodal models, and AI-driven content generation, along with deep expertise in software engineering best practices.
Key Responsibilities
- Design, build, and optimize generative AI models (e.g., GPT, diffusion, transformer-based architectures).
- Develop scalable Python-based AI pipelines for data preprocessing, model training, and inference.
- Fine-tune and deploy pre-trained large language models using frameworks like Hugging Face Transformers, LangChain, or OpenAI API.
- Collaborate with cross-functional teams (data scientists, ML engineers, product teams) to integrate AI models into production systems.
- Research and implement state-of-the-art techniques in text, image, and multimodal generation.
- Optimize model performance, latency, and scalability in cloud or on-prem environments.
- Maintain model governance, versioning, and responsible AI compliance.
- Mentor junior engineers and contribute to AI architecture and code reviews.
Notice Period-0 to 15 Days
Required Skills & Qualifications
- 8+ years of professional experience in software development, with at least 2+ years in AI/ML.
- Expert-level proficiency in Python and its libraries (NumPy, Pandas, PyTorch/TensorFlow, FastAPI, etc.).
- Strong understanding of deep learning architectures (transformers, CNNs, RNNs, diffusion models).
- Experience with Generative AI frameworks e.g., LangChain, OpenAI, Hugging Face, LlamaIndex, Stable Diffusion, Midjourney APIs.
- Hands-on experience with prompt engineering, model fine-tuning, and embedding-based retrieval (RAG).
- Familiarity with MLOps tools (Docker, MLflow, Kubernetes, AWS Sagemaker, Vertex AI, Azure ML).
- Solid understanding of data engineering principles and API development.
- Strong problem-solving and algorithmic skills.
- Excellent communication and documentation abilities.
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