5–8 yrsGurugramOn-siteDirect career pageEst. 18–30 LPA
Posted on 5 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of scalable Generative AI and AI/ML models focused on automation, intelligence, and creativity.
- Oversee full AI model lifecycle: data collection, preprocessing, training, fine-tuning, deployment, and monitoring.
- Mentor junior engineers, drive AI initiatives from concept to production, and maintain production-ready AI systems including pipelines and APIs.
Minimum Requirements
- 5-8 years of experience in AI/ML model development and deployment.
- Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or related field.
- Proficient in Generative AI, Large Language Models (LLMs), Python, and AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex).
- Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS), cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and MLOps practices.
Ideal Candidate Profile
- Senior-level AI engineer with deep domain expertise in Generative AI, LLMs, NLP, and multimodal AI.
- Experienced in deploying scalable, high-performance AI systems with strong technical leadership and mentoring skills.
- Comfortable working cross-functionally to integrate AI solutions into products and workflows with knowledge of AI infrastructure and emerging AI research.