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NiCE Software Engineer check eligibility and apply . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in / India India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below.
About Company :
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
Job Summary
We are looking for a Software Engineer to join our AI Engineering team, focusing on building and operationalizing AI/ML and Generative AI solutions. In this role, you will design and implement robust software systems that enable MLOps and GenAI Ops workflows, ensuring scalable, secure, and efficient deployment of AI models and applications. You will work closely with data scientists, prompt engineers, and cloud specialists to deliver production-grade AI services using Azure AI and AI Foundry.
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Responsibilities
- Design and implement GenAI Ops pipelines for LLM deployment, fine-tuning, and inference optimization.
- Automate prompt lifecycle management, versioning, and evaluation.
- Integrate Azure AI services and AI Foundry for scalable GenAI solutions.
- Build CI/CD workflows for LLM-based applications, including containerization and orchestration.
- Implement observability and monitoring for LLM performance, latency, and hallucination detection.
- Collaborate with Data Scientists and Prompt Engineers to streamline GenAI workflows.
- Ensure compliance with Responsible AI, data privacy, and model governance.
Required Skills & Qualifications
- Cloud Platforms: Strong experience with Azure AI, Azure ML, and Azure DevOps.
- GenAI Tools: Hands-on with AI Foundry, OpenAI/Azure OpenAI APIs, or similar platforms.
- Programming: Proficiency in .Net or Python; experience with prompt engineering frameworks.
- CI/CD: Familiarity with Azure DevOps pipelines, Docker, Kubernetes.
- Monitoring: Knowledge of LLM observability tools and metrics for GenAI (e.g., prompt success rate, token usage).
- Understanding of MLOps principles and GenAI Ops best practices.
Qualifications:
- Bachelor’s or master’s degree in computer science or a related field.
- Experience with fine-tuning LLMs and embedding models.
- Knowledge of vector databases (e.g., PostgressPGE Vector, Azure Cognitive Search).
- Familiarity with RAG (Retrieval-Augmented Generation) architectures.
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