Role Overview
We are looking for an AI Engineer with strong expertise in Generative AI to join our dynamic team. The ideal candidate will design, develop, and deploy AI / ML models, focusing on generative applications that power creativity and automation.
Key Responsibilities
- Design and implement scalable AI / ML models for real-world applications. Manage the end-to-end model lifecycle : data acquisition, pre-processing, training, validation, deployment, and monitoring.
- Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into Ai products and solutions.
- Continuously optimize models for performance, accuracy, and efficiency.
- Stay ahead of the curve by evaluating emerging AI technologies and research for practical adoption.
- Maintain clear documentation to support reproducibility and team knowledge sharing.
Requirements
Bachelor's / Master's in Computer Science, AI / ML, Data Science, or related field.2-5 years of experience in AI / ML model development.Proven hands-on experience with Generative AI (e.g., GPT, LLaMA, Stable Diffusion, Midjourney, or similar models).Strong programming skills in Python (PyTorch / TensorFlow, Hugging Face).Experience with APIs, cloud platforms (AWS / GCP / Azure), and deployment tools (Docker, Kubernetes).Solid understanding of NLP, Computer Vision, or multimodal AI.Immediate joiners will be preferred.Good To Have
Experience with fine-tuning LLMs and building custom pipelines.Familiarity with LangChain, RAG (Retrieval Augmented Generation), or vector databases.Knowledge of MLOps practices for deploying and scaling models.What We Offer
Opportunity to work on cutting-edge Generative AI projects.Fast-paced, collaborative, and innovative work environment.Competitive salary package and growth opportunities.Be part of a forward-thinking team shaping the future with AI.Skills Required
Apis, Tensorflow, Nlp, Pytorch, Gcp, Docker, Azure, Python, Kubernetes, Computer Vision, Aws