Generative AI Engineer - Bengaluru / Bangalore - Hanker Systems India

    Hanker Systems India
    Hanker Systems India Bengaluru / Bangalore

    2 days ago

    Full time ₹700,000 - ₹2,200,000 (INR) per year *
    Description

    Key Responsibilities:

    • Design, develop, and fine-tune Generative AI models for text, image, video, and audio synthesis.
    • Work with transformer architectures such as GPT, BERT, T5, Stable Diffusion, and CLIP.
    • Implement and optimize LLMs (Large Language Models) using Hugging Face, OpenAI, or custom architectures.
    • Develop AI-powered chatbots, virtual assistants, and content generation tools.
    • Work with diffusion models, GANs (Generative Adversarial Networks), and VAEs (Variational Autoencoders) for creative AI applications.
    • Optimize AI models for performance, inference speed, and cost efficiency in cloud or edge environments.
    • Deploy AI models using TensorFlow, PyTorch, ONNX, and MLflow on AWS, Azure, or GCP.
    • Work with vector databases (FAISS, Pinecone, Weaviate) and embedding-based search techniques.
    • Fine-tune models using RLHF (Reinforcement Learning with Human Feedback) for better alignment.
    • Collaborate with data scientists, ML engineers, and product teams to integrate AI capabilities into applications.
    • Ensure AI model security, bias mitigation, and ethical AI practices.
    • Stay updated with the latest advancements in Generative AI, foundation models, and prompt engineering.

    Required Skills & Qualifications:

    • 6+ years of experience in AI, machine learning, and deep learning.
    • Strong expertise in Generative AI models and transformer architectures.
    • Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries.
    • Experience with NLP, text embeddings, and retrieval-augmented generation (RAG).
    • Knowledge of vector databases, embeddings, and scalable model serving (FastAPI, Triton, Ray Serve).
    • Experience with GPU acceleration (CUDA, TensorRT, ONNX optimization) for AI workloads.
    • Familiarity with cloud-based AI services like AWS Bedrock, Azure OpenAI, or Google Vertex AI.
    • Strong understanding of data preprocessing, annotation, and model evaluation metrics.
    • Experience working with large-scale datasets and distributed training techniques.
    • Strong problem-solving skills and ability to work in Agile/DevOps environments.
    • Preferred Qualifications:
    • Experience with multimodal AI (text-to-image, text-to-video, speech synthesis).
    • Knowledge of RLHF, prompt engineering, and AI-assisted code generation.
    • Certifications in Machine Learning, AI, or Cloud AI services.
    * This salary range is an estimation made by beBee
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