Machine Learning Engineer (80-140 USD/HR) Remote, Apply using Link

Job Description

Job Description

Dear Applicant,

Greetings from ProIntegrate, A Micro1, Partner.

Thank you for your interest in the ML Engineer role (80-140 usd per hour) Apply directly using below job link.

This role is with Micro1.

Important: If you have already applied or registered with Micro1 for this role, please do not submit a duplicate application.

To be considered for the role, please complete the application using the link below. After submitting your application, please make sure to complete the AI interview as well.

Step 1 — Prepare for the AI Interview

Please review the interview preparation guide before starting the AI interview:

Interview Prep: https://www.micro1.ai/interview-prep

Step 2 — Apply for the Role

Please have your CV and LinkedIn ID ready, then apply using the link below:

Job Application Link — Apply Now:

https://jobs.micro1.ai/post/3751d160-6ea1-45e9-8c40-7af439059844?referr…

After applying, please complete the AI interview ASAP, to proceed with the hiring process.

Important: After applying, watch your registered email for the AI interview invitation. Ideally, complete the interview within 48 hours of applying.

If you are unable to access the application link, please copy and paste the link directly into your browser. If you still have trouble accessing it, let me know and I can share the application link with you via email.

Job Spec:

micro1 is engaging Machine Learning Engineers to contribute expertise to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

• 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.

Preferred Qualifications

• 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.

Best regards,

Recruitment Team,

Prointegrate.