If you are interested in the role, please apply through our website: https://radarhire.com/job/machine\-learning\-engineer\-remote\-id\-2116/ **About the Role**: Radar Hire is seeking a skilled and forward\-thinking **Machine Learning Engineer** to design, develop, and deploy scalable ML models and AI\-powered solutions for innovative, data\-driven companies. This is a hands\-on, engineering\-focused role where you’ll take ownership of the entire ML lifecycle—from data ingestion and model training to deployment and monitoring. The ideal candidate is fluent in modern ML frameworks, understands real\-world application constraints, and is passionate about solving complex problems using predictive modeling, LLMs, or other machine learning methods. **Key Responsibilities** * Design, build, and train machine learning models for classification, regression, clustering, recommendation systems, or generative tasks * Work closely with data scientists and engineers to prepare and preprocess datasets for modeling * Implement and optimize training pipelines for experimentation and version control * Deploy ML models to production using containerization, CI/CD pipelines, and cloud services * Monitor performance, retrain models as needed, and ensure system stability post\-deployment * Collaborate with product, engineering, and analytics teams to align models with business goals * Stay up to date with state\-of\-the\-art ML algorithms, tools, and research * Document model architecture, assumptions, validation metrics, and maintenance plans **Required Skills \& Qualifications** * 3–5\+ years of hands\-on experience in machine learning model development * Proficiency in **Python** and ML libraries such as **scikit\-learn, TensorFlow, PyTorch, XGBoost** * Strong understanding of supervised and unsupervised learning techniques * Experience with **data preprocessing**, **feature engineering**, and **model evaluation** * Solid grasp of ML system design, model deployment, and MLOps best practices * Familiarity with **Docker**, **Kubernetes**, and cloud services (AWS, GCP, or Azure) * Comfortable working with structured and unstructured data * Strong collaboration and communication skills in cross\-functional, remote environments **Nice to Have** * Experience with **LLMs (Large Language Models)**, embeddings, or vector search integration * Familiarity with **Retrieval\-Augmented Generation (RAG)** architectures * Experience using **MLflow**, **Weights \& Biases**, or similar model tracking tools * Understanding of privacy and compliance considerations for ML systems (HIPAA, GDPR, etc.) * Exposure to real\-time ML applications (recommendation engines, fraud detection, etc.) **Working Hours** * **Full\-Time**, Monday–Friday 8 hours per day * Aligned with U.S. business hours Job Type: Full\-time Pay: $2,011,083\.00 \- $4,165,814\.00 per month Application Question(s): * To be able to proceed please confirm that you applied through our website: https://radarhire.com/job/machine\-learning\-engineer\-remote\-id\-2116/ Work Location: Remote