Generative AI Engineer (ID: 3477)

As a Generative AI Engineer you will: Design, build, and deploy Generative AI models for NLP, computer vision, and multi-modal use cases. Research, evaluate, and integrate state-of-the-art Large Language Models (LLMs) for enterprise applications. Fine-tune foundation models and implement effective prompt engineering strategies. Develop and optimize large-scale data pipelines using Azure Databricks and Apache Spark. Build, deploy, and monitor ML models using robust MLOps workflows. Collaborate closely with data scientists, solution architects, and business stakeholders. Ensure AI solutions follow data governance, security, and responsible AI standards. Continuously optimize model performance, scalability, and reliability in production environments. What You Bring to the Table: 4-6 years of hands-on experience in Machine Learning, AI, or Generative AI roles. Strong proficiency in Python for ML and data engineering use cases. Practical experience with Generative AI, LLMs, and model fine-tuning techniques. Hands-on exposure to Azure Databricks, Spark, and distributed data processing. Experience working with ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Solid understanding of Azure cloud services including Data Lake, Synapse, and Azure ML. Working experience with CI/CD pipelines, MLOps practices, and automation. You Should Possess the Ability to: Translate business requirements into scalable AI and ML solutions. Design end-to-end ML pipelines from data ingestion to production deployment. Optimize model performance for accuracy, latency, and cost efficiency. Work effectively with cross-functional technical and non-technical teams. Implement secure, compliant, and responsible AI solutions. Monitor deployed models and handle versioning, retraining, and performance drift. Work independently in complex problem-solving environments. Adapt quickly to evolving AI technologies and enterprise ML standards. What We Bring to the Table: Opportunity to work on enterprise-grade Generative AI and LLM use cases. Exposure to large-scale data processing and cloud-native ML architectures. A technically strong environment focused on modern MLOps and CI/CD practices. Collaboration with experienced AI engineers, data scientists, and architects. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: +31 20 369 0609 ; Extn :132 Email: asha.k@stafide.nl LinkedIn: https://www.linkedin.com/in/asha-krishnan