Job Details

Machine Learning EngineerPosition:Machine Learning EngineerType:Hourly ContractCompensation:$80–$140/hourLocation:RemoteAbout the OpportunityThis opportunity is for experiencedMachine Learning Engineerswith expertise inPython, machine learning, data analysis, model development, and MongoDBto contribute to advancedAI training and evaluation projects .You'll apply your technical expertise to design and refine machine learning solutions, analyze datasets, evaluate model performance, and develop reliable workflows that support the training and deployment ofnext-generation AI systems .ResponsibilitiesDesign, develop, and refinemachine learning modelsusing Python and relevant ML frameworks.Analyze and processlarge datasetsfor model training, validation, and evaluation.UseMongoDBfor efficient data storage, manipulation, querying, and retrieval.Develop and maintaindata preprocessing and feature engineering pipelines .Evaluate model performance using appropriatemetrics, benchmarking, and validation techniques .Performhyperparameter tuningand iterative model optimization.Collaborate with cross-functional teams to identify opportunities formodel and workflow improvements .Integrate data pipelines intotraining and inference workflows .Document experiments, methodologies, results, and technical decisions to ensurereproducibility .Provide actionable insights and recommendations based onmachine learning and data-driven findings .Required QualificationsProfessional experience working as aMachine Learning Engineer, ML Developer, Data Scientist, or similar role .Strong proficiency inPythonand machine learning development.Hands-on experience with machine learning frameworks such asscikit-learn, TensorFlow, or PyTorch .Practical experience usingMongoDBfor data management and retrieval.Strong understanding ofmachine learning algorithms, model evaluation, and data preprocessing .Experience withfeature engineering, hyperparameter tuning, and model benchmarking .Strong analytical and problem-solving abilities.Excellent written communication and technical documentation skills.Ability to work independently and collaborate effectively in aremote environment .Preferred QualificationsExperience deploying or operationalizingmachine learning modelsin cloud or enterprise environments.Familiarity withML pipelines, model serving, and inference workflows .Experience working with large-scale datasets and production ML systems.Knowledge ofMLOps, model monitoring, or automated ML workflows .Experience contributing toAI training, model evaluation, or data-quality initiatives .Strong understanding of scalable data and machine learning architectures.Ability to adapt quickly to evolving technical requirements and project priorities.CompensationCompetitive compensation of $80–$140/hour.Hourly contract engagement.Fully remote with flexible working arrangements.Opportunity to contribute tonext-generation AI training and evaluation projects .Application ProcessEasy Apply on LinkedInCheck Email for Next StepsComplete the required assessment based on your professional backgroundParticipate in the interview/evaluation stageHiring team review