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 opportunity to innovate, experiment, and drive impactful AI initiatives within a leading enterprise setting.

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

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