AI Research Scientist; Remote

Description:

Machine Learning Engineer Position:

Machine Learning Engineer Type:

Hourly Contract Compensation:$80–$140/hour

Location:

Remote About the Opportunity This opportunity is for experienced

Machine Learning Engineers with expertise in Python, machine learning, data analysis, model development, and MongoDBto contribute to advanced AI 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 .

• Design, develop, and refinemachine learning models using Python and relevant ML frameworks.
• Analyze and process large datasetsfor model training, validation, and evaluation.
• UseMongoDBfor efficient data storage, manipulation, querying, and retrieval.
• Develop and maintain data preprocessing and feature engineering pipelines .
• Evaluate model performance using appropriate metrics, 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 .

• Professional experience working as aMachine Learning Engineer, ML Developer, Data Scientist, or similar role .
• Strong proficiency in Pythonand machine learning development.
• Hands‑on experience with machine learning frameworks such as scikit-learn, Tensor Flow, or PyTorch .
• Practical experience using
  
  MongoDBfor data management and retrieval.
• Strong understanding of machine learning algorithms, model evaluation, and data preprocessing .
• Experience with feature 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 .

• Experience deploying or operationalizing machine learning models in cloud or enterprise environments.
• Familiarity with ML pipelines, model serving, and inference workflows .
• Experience working with large-scale datasets and production ML systems.
• Knowledge of MLOps, model monitoring, or automated ML workflows .
• Experience contributing to AI 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.

Compensation Competitive compensation of $80–$140/hour.

Hourly contract engagement.

Fully remote with flexible working arrangements.

Opportunity to contribute tonext-generation AI training and evaluation projects .