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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Job Title: AI / Machine Learning Engineer (Data Science) - Remote - **Company:** BMR Infotek - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Continuous Integration, Relational Databases, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, SQL Databases, Unstructured Data, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Model Validation, Generative AI, Keras, Git, Scikit Learn, Kubernetes, Information Technology, Xgboost, Machine Learning Operations, Software Version Control, Data Pipelines, Docker, Unsupervised Learning, Databricks - **Published:** August 4, 2026 - **Apply:** https://www.dice.com/job-detail/c55d4a2a-25f7-4dc3-8852-091afd4b9554 ## About the Role We are seeking an experienced AI & Machine Learning Engineer with a strong background in Data Science to join our growing team. The ideal candidate will have hands-on experience designing, developing, and deploying machine learning and AI solutions that solve complex business problems. This is a full-time remote opportunity for professionals passionate about artificial intelligence, predictive analytics, and scalable ML systems., * 5-7 years of experience in AI, Machine Learning, and Data Science. * Strong programming skills in Python. * Experience with TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, or similar ML frameworks. * Strong understanding of supervised and unsupervised learning algorithms. * Experience with feature engineering, model evaluation, and hyperparameter tuning. * Strong knowledge of statistics, probability, and predictive analytics. * Experience with SQL and relational databases. * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform). * Experience with Docker, Kubernetes, Git, and CI/CD pipelines. * Knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker is a plus. Preferred Qualifications * Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI agents. * Experience with NLP, Computer Vision, or Deep Learning projects. * Familiarity with Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate). * Exposure to Spark, Hadoop, or Databricks. * Excellent analytical, problem-solving, and communication skills., * Bachelor''''s or Master''''s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field. ## Description * Design, develop, and deploy Machine Learning and AI models for production environments. * Build predictive models, recommendation systems, classification, regression, clustering, and NLP solutions. * Analyze structured and unstructured data to generate actionable business insights. * Develop scalable data pipelines and feature engineering workflows. * Work with large datasets using SQL, Python, and distributed computing frameworks. * Train, evaluate, fine-tune, and optimize ML models for performance and scalability. * Collaborate with Data Engineers, Software Engineers, Product Managers, and stakeholders to deliver AI-driven solutions. * Implement MLOps best practices for model deployment, monitoring, and version control. * Stay current with advancements in AI, Generative AI, LLMs, and machine learning technologies. ## Related Videos - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [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? 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