Machine Learning Engineer

AI/ML Engineer Contract type: W2 contractRoles & ResponsibilitiesDesign, develop, and deploy machine learning models for real-world business use casesPerform data collection, preprocessing, feature engineering, and exploratory data analysisTrain, evaluate, and fine-tune ML/DL models for accuracy, performance, and scalabilityBuild and deploy AI/ML pipelines into production environmentsWork with NLP, Computer Vision, or Generative AI/LLM use cases as applicableIntegrate ML models into applications via APIs and microservicesCollaborate with data engineers, software developers, and product teams to deliver AI-driven solutionsMonitor deployed models for performance, drift, and retraining needs (MLOps)Conduct experiments, A/B testing, and document model performance and findingsStay current with emerging AI/ML trends, tools, and researchRequired SkillsetCore: Python, Statistics, Data Structures & AlgorithmsML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn, KerasData Handling: Pandas, NumPy, SQL, Data Preprocessing, Feature EngineeringSpecializations: NLP, Computer Vision, Generative AI/LLMs (as applicable)MLOps & Deployment: MLflow, Docker, Kubernetes, Model Serving (Flask/FastAPI)Cloud Platforms: AWS/Azure/GCP (SageMaker, Azure ML, Vertex AI)Other: Git, Jupyter Notebooks, Agile/Scrum, Model Evaluation Metrics