AI Developer

Overview

Develop and deploy AI/ML/GenAI solutions, prototypes, and cloud-native models.

Key Responsibilities

• ai prototyping
• cloud ai
• genai development
• mlops
• model design
• performance optimization

Tasks

Create innovative proof-of-concepts to explore new AI technologies and use cases. Implement cloud-native AI solutions with scalable architectures. Develop new solutions, services or products as Cloud-native solutions. Research and evaluate emerging AI technologies for potential integration Collaborate with development teams to integrate AI capabilities into existing products. Build and deploy GenAI applications using LLMs, RAG systems, and vector databases. Contribute to technical documentation and knowledge sharing. Implement MLOps practices for continuous integration, deployment, and monitoring of AI models. Design and develop AI/ML models and algorithms using modern frameworks and techniques. Optimize AI systems for performance, scalability, and production deployment.

Requirements

• python
• aws
• docker
• tensorflow
• mlops
• bachelor's

What You Bring

Experience with transformer models, prompt engineering, and LLM orchestration frameworks (LangChain, LlamaIndex). Cloud development: Experience with cloud platforms (AWS or GCP preferred) and containerization (Docker) Demonstrated ability to independently explore and master new technologies. A chance to make the difference. We seek a versatile AI Developer who thrives on innovation and rapid technology adoption. This role focuses on developing cutting-edge AI/ML solutions, exploring emerging technologies, and building proof-of-concepts both independently and collaboratively. You'll drive AI innovation across our product portfolio without requiring prior domain knowledge. Knowledge of additional programming languages (C#, C++) Experience with vector databases, embeddings, and semantic search technologies Proficient in AWS (Sagemaker, AWS SDK, MCP & Bedrock) , OR GCP (Vertex AI, ADK, and MCP) for building, integrating, and operationalizing cloud-native AI/ML solutions. ML/DL proficiency: Solid understanding of machine learning algorithms, deep learning, and frameworks (TensorFlow, PyTorch, scikit-learn). Knowledge of MLOps practices and AI model lifecycle management . Experience with agile development methodologies and cross-functional collaboration. 4+ years of hands-on AI/ML development experience with production deployments with a total experience of 7-8 yrs. Strong programming skills in Python (preferred) & Node.js. Experience with AI safety, responsible AI practices, and bias mitigation. Tools & Platforms: Vertex AI, Bedrock, SageMaker, ADK, MCP, LangChain, LlamaIndex, TensorFlow, PyTorch, Docker, and Kubernetes. Contributions to open-source AI/ML projects or technical publications. Bachelor's/Master's degree in Computer Science, AI, ML, Data Science, or related technical field. Familiarity with microservices architecture and API development. Sql & No sql exposure is must. Strong analytical and problem-solving capabilities. Ability to quickly build and iterate on proof-of-concepts

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About Nemetschek Group

-Recognized for advanced digital tools that help clients design, construct, and manage buildings and infrastructure projects. -Empowers architects, engineers, and construction professionals to create sustainable and efficient designs. -Serves a wide range of sectors, with products catering to residential, commercial, and industrial projects. -Focus on user-centered innovation, offering specialized software for modeling, collaboration, and data management. -Offers standout solutions like 3D modeling tools, project management platforms, and smart building technologies. -Technology trusted by some of the world's largest construction companies to deliver complex and high-profile projects.

Sector Specialisms