> Markdown version of [/jobs/ext/540747-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/540747-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Nmk Global Inc. - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Data Cleansing, Monitoring of Systems, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Software Engineering, Google Cloud, Feature Engineering, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Keras, Pandas, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Docker, Unsupervised Learning - **Published:** June 5, 2026 - **Apply:** https://www.dice.com/job-detail/984de62c-0222-4e65-b3ad-06dfcaf927b4 ## About the Role This role requires a highly motivated professional who can collaborate with cross-functional teams, build production-ready AI solutions, optimize model performance, and drive innovation using the latest advancements in Artificial Intelligence and Machine Learning., * 10+ years of overall IT experience with strong expertise in AI/ML Engineering. * Extensive experience with TensorFlow, Keras, and related ML ecosystems. * Strong programming skills in Python. * Hands-on experience with NumPy, Pandas, Scikit-learn, and other ML libraries. * Solid understanding of supervised and unsupervised learning techniques. * Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, and Agentic AI frameworks. * Strong knowledge of data preprocessing, feature engineering, model evaluation, and hyperparameter tuning. * Experience deploying ML models in production environments. * Familiarity with cloud platforms such as AWS and Google Cloud Platform (Google Cloud Platform). * Knowledge of MLOps practices and model lifecycle management. * Strong analytical, problem-solving, and communication skills., * Master''s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. * Experience working with modern AI frameworks and LLM technologies. * Experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. * Exposure to AI governance, model monitoring, and responsible AI practices., * Bachelor''s or Master''s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. ## Description We are seeking an experienced AI/ML Engineer with a strong background in Machine Learning, Data Science, Generative AI, and AI Agent frameworks. The ideal candidate will have extensive hands-on experience designing, developing, and deploying scalable machine learning solutions, with deep expertise in TensorFlow, Python, and modern AI technologies., * Design, develop, and deploy machine learning and deep learning models using TensorFlow and Keras. * Build and implement Generative AI and Agentic AI solutions for complex business use cases. * Collaborate with business stakeholders, data engineers, and software development teams to gather requirements and translate them into scalable AI solutions. * Perform data analysis, data preprocessing, feature engineering, and model validation. * Optimize and fine-tune machine learning models for performance, accuracy, and scalability. * Develop and maintain ML pipelines for training, testing, deployment, and monitoring. * Deploy AI/ML solutions on cloud platforms such as AWS or Google Cloud Platform (Google Cloud Platform). * Stay current with emerging AI technologies, LLMs, Agentic AI frameworks, and industry best practices. * Document technical designs, methodologies, and implementation processes. * Mentor junior engineers and contribute to technical leadership initiatives. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)