Generative AI Engineer

5 - 10 years

7 - 12 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are expanding our AI capabilities and seeking Generative AI Engineers to join our growing team in Hyderabad. This is a great opportunity to work on state-of-the-art AI projects, develop proprietary solutions, and collaborate with a highly skilled engineering team.

Key Responsibilities
Design, develop, and deploy Generative AI models using LLMs, diffusion models, and other state-of-the-art architectures.
Fine-tune and optimize pre-trained models (e.g., GPT, LLaMA, Mistral, Stable Diffusion) for domain-specific applications.
Build scalable APIs, pipelines, and services to integrate AI models into products.
Work with cross-functional teams to understand requirements and deliver AI-driven features.
Evaluate emerging AI technologies and frameworks to recommend adoption.
Conduct experiments, maintain model performance benchmarks, and ensure ethical and bias-aware AI usage.

Required Skills & Qualifications
Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or related field.
2-6 years of hands-on experience in AI/ML development, with at least 1 year in Generative AI.
Strong programming skills in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers.
Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.) and fine-tuning large models.
Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and prompt engineering.
Experience in deploying AI models to production (Docker, Kubernetes, cloud services like AWS/GCP/Azure).
Strong problem-solving skills and ability to work in an agile environment.

Preferred Skills
Experience in multi-modal AI (text, image, audio, video).
Understanding of RAG (Retrieval Augmented Generation) pipelines.
Exposure to MLOps tools and practices.
Knowledge of AI safety, fairness, and compliance standards.

Why Join Us
Work on cutting-edge AI initiatives for global clients.
Collaborative, innovation-driven environment.
Opportunities for continuous learning and upskilling in advanced AI.
Competitive compensation and benefits

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