Generative AI Developer

Role Overview: As a Generative AI Developer, you will be responsible for designing, developing, and deploying Generative AI models. Your role will involve implementing AI/ML models for text, image, and data generation tasks. Additionally, you will collaborate with cross-functional teams to deliver AI-powered solutions. Key Responsibilities: - Work on the design, development, and deployment of Generative AI models. - Implement AI/ML models for text, image, and data generation tasks. - Fine-tune pre-trained models (e.g., GPT, LLaMA, Stable Diffusion, etc.) for business-specific needs. - Integrate Generative AI solutions into web and enterprise applications. - Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions. - Conduct testing, optimization, and performance tuning of AI models. - Document processes, workflows, and maintain project deliverables. Qualifications: - Bachelors/Masters in Computer Science, MCA, BE, AI, Data Science, or related field. - Must hold a valid certification in Generative AI (Google, Microsoft, Coursera, etc.). Additional Details: The company prefers candidates with expertise in the following areas: - Programming Languages: Python (mandatory), basic knowledge of JavaScript/PHP (plus). - Generative AI Frameworks: Hugging Face, LangChain, RAG (Retrieval Augmented Generation). - ML/DL Libraries: TensorFlow, PyTorch, Keras. - Generative Models: GPT, LLaMA, Stable Diffusion, DALLE, MidJourney (experience in at least one). - Cloud Platforms: Azure AI, Google Cloud Vertex AI, AWS Bedrock/OpenAI APIs. - Databases: MySQL/PostgreSQL, Vector DBs (Pinecone, FAISS, Weaviate). - Version Control: Git/GitHub. - MLOps Tools (Good to have): MLflow, Docker, Kubernetes. Preferred Skills: - Knowledge of Laravel/PHP for backend integration. - Experience with REST APIs and microservices. - Exposure to prompt engineering and AI ethics/compliance.,