Machine Learning Engineer
EVB
WorldwideremotePosted 3 days ago
Skill Required
Machine-Learning-EngineeringSoftware-EngineerData-ScienceAI-EngineeringPython-DevelopmentMachine-Learning-EngineerAI-ML-EngineerMachine-Learning-Engineer-JobsMachine-Learning-Engineering-JobsApplied-Machine-Learning-EngineerLead-Machine-Learning-EngineerMachine Learning EngineerMachine Learningsoftware engineeringScikit-learnEngineeringTensorFlowbuildingPyTorchMongoDBwrittenPythondesignCloudandAIContract
Key highlights
- Remote contract position
- Competitive compensation package
- Venture‑backed AI company with over $40M funding
- Work on cutting‑edge AI models across multiple industries
- Preferred expertise in Python and ML frameworks (scikit‑learn, TensorFlow, PyTorch)
- Experience with MongoDB for data handling in ML projects
Role overview
In this role, Machine Learning Engineers will contribute expertise to a dynamic customer project, applying their skills to train next‑generation AI systems. Their work will shape how models learn, reason, and perform through high‑quality, real‑world input.
Responsibilities
- Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives.
- Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation.
- Collaborate with cross‑functional contributors to identify areas for model improvement and implement robust solutions.
- Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance.
- Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows.
- Integrate data pipelines and preprocessing workflows to streamline training and inference processes.
- Deliver actionable insights and recommendations based on data‑driven findings and machine learning outcomes.
Nice to have
- Demonstrated expertise with Python, including deep familiarity with machine learning frameworks such as scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects.
- Strong problem‑solving skills and a track record of delivering innovative ML solutions in real‑world settings.
- Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques.
- Background in deploying or operationalizing machine learning models in cloud or enterprise environments.
- Clear written documentation and communication skills for sharing technical findings and best practices.
- Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting.
Benefits
- A very attractive and competitive package is offered.
Additional details
- Job Title: Machine Learning Engineer
- Job Type: Contractor
- Location: Remote
- About the hiring company: Rapidly growing, venture‑backed AI company shaping the next generation of intelligent systems.
- Company background: Backed by more than $40 million in funding, with an international network of experts delivering AI‑driven talent assessment and matching.
- Originally posted on Himalayas.