Machine Learning (Visakhapatnam)

ql-editor > Job Title: Machine Learning Generative AI Engineer (Hybrid 2 3 Days Work from Office) Location: Bangalore Note: Female Candidates Only Job Summary We are seeking a talented Machine Learning Generative AI Engineer to design, build, and deploy next-generation AI solutions. This role involves working on cutting-edge AI and LLM technologies , including Transformer architectures, RAG pipelines, fine-tuning , and prompt optimization , alongside developing traditional ML models for automation and decision intelligence. This position offers a unique chance to innovate, experiment, and drive impactful AI initiatives within a leading enterprise environment. Key Responsibilities Design, develop, and deploy end-to-end ML and Generative AI pipelines , including data preprocessing, model training, and scalable deployment. Build and optimize LLM-based solutions leveraging Transformer models (BERT, GPT, T5, LLaMA, etc.). Implement RAG (Retrieval-Augmented Generation) systems using embeddings and vector databases such as FAISS, Pinecone, Weaviate, or Chroma. Fine-tune and customize LLMs on domain-specific datasets for enterprise use cases (QA, summarization, conversational AI, structured-to-text generation). Work with MLOps tools (Airflow, Kubeflow, MLflow) to automate and manage ML lifecycle processes. Deploy models efficiently using Docker, Kubernetes , and cloud platforms (Azure, AWS, or GCP). Collaborate with cross-functional teams data scientists, engineers, and domain experts to align AI solutions with business goals. Ensure model safety, privacy, performance , and adherence to responsible AI practices. Required Skills Experience 3 7 years of experience in Machine Learning, Deep Learning, or AI model development . Strong expertise in Python , PyTorch , TensorFlow , Scikit-Learn , and MLflow . Hands-on experience with Transformer architectures and attention mechanisms . Experience in Generative AI , including LLM fine-tuning (LoRA, QLoRA, PEF .