Machine Learning Engineer (Remote | $80–$140/hr)

**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 MongoDB**
to 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 of
**next-generation AI systems**
.

**Responsibilities**

- Design, develop, and refine
**machine learning models**
using Python and relevant ML frameworks.
- Analyze and process
**large datasets**
for model training, validation, and evaluation.
- Use
**MongoDB**
for 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**
.
- Perform
**hyperparameter tuning**
and iterative model optimization.
- Collaborate with cross-functional teams to identify opportunities for
**model and workflow improvements**
.
- Integrate data pipelines into
**training and inference workflows**
.
- Document experiments, methodologies, results, and technical decisions to ensure
**reproducibility**
.
- Provide actionable insights and recommendations based on
**machine learning and data-driven findings**
.

**Required Qualifications**

- Professional experience working as a
**Machine Learning Engineer, ML Developer, Data Scientist, or similar role**
.
- Strong proficiency in
**Python**
and machine learning development.
- Hands-on experience with machine learning frameworks such as
**scikit-learn, TensorFlow, or PyTorch**
.
- Practical experience using
**MongoDB**
for 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 a
**remote environment**
.

**Preferred Qualifications**

- 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 to
**next-generation AI training and evaluation projects**
.

**Application Process**

1. **Easy Apply on LinkedIn**
2. **Check Email for Next Steps**
3. **Complete the required assessment based on your professional background**
4. **Participate in the interview/evaluation stage**
5. **Hiring team review**