Job Title: Machine Learning Engineer – Generative AIJob Summary:We are seeking a Machine Learning Engineer specializing in Generative AI to design, develop, and deploy advanced AI models that create human-like content across text, images, audio, and multimodal applications. You will collaborate with cross-functional teams to integrate AI into products, enabling next-generation solutions that deliver measurable business impact.Key Responsibilities:Design, train, and deploy generative AI models including LLMs, GANs, VAEs, diffusion models, and multimodal AI systems.Implement retrieval-augmented generation (RAG) pipelines, embeddings, and fine-tuning/adapters to improve model performance.Build and maintain end-to-end ML pipelines: data preprocessing, feature engineering, model training, evaluation, and deployment in production environments.Collaborate with product, software, and data teams to integrate generative AI into real-world applications, including chatbots, content generation, recommendation systems, and personalization engines.Optimize models for latency, scalability, cost-efficiency, and robustness.Implement MLOps practices including CI/CD, model versioning, monitoring, logging, and automated testing.Ensure ethical AI, bias mitigation, and content safety in all generative AI models.Conduct research on cutting-edge generative AI techniques and implement them to improve model efficiency, creativity, and output quality.Evaluate model outputs and performance using metrics tailored to generative tasks (e.g., BLEU, ROUGE, FID, human evaluation scores).Required Qualifications & Skills:Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.Strong programming skills in Python, familiarity with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers.Experience with LLMs, GANs, VAEs, Diffusion Models, RAG, embeddings, and prompt engineering.Hands-on experience with NLP, Computer Vision, audio/speech modeling, and multimodal AI.Experience deploying ML/AI models on cloud platforms (AWS, GCP, Azure) with containerization (Docker/Kubernetes).Knowledge of vector databases, SQL/NoSQL, and data pipelines.Familiarity with MLOps, CI/CD, monitoring, and model lifecycle management.Strong problem-solving, analytical, and communication skills.Preferred Qualifications:Published research or open-source contributions in Generative AI, LLMs, or deep learning.Experience with real-time AI systems and high-throughput inference pipelines.Knowledge of AI ethics, bias mitigation, and responsible AI practices.Exposure to transformer architectures, multimodal embeddings, and evaluation frameworks for generative tasks.
Job Title
Machine Learning Engineer