I’m helping Muhammad Amjad find a top candidate to join their team as a freelancer for the role of Machine Learning Engineer.
You'll deploy high-impact ML models at scale, shaping real-world applications with a global team.
Compensation:
USD 30 - 100/hour
Location:
Remote (anywhere)
What makes you a strong candidate:
- You are Proficient in TensorFlow, and scikit-learn
- English - Conversational.
Responsibilities and deliverables:
Our client is looking for a Machine Learning Engineer who can build, optimize, and deploy high-impact ML models at scale.
Responsibilities:
- Develop, train, and deploy machine learning models using TensorFlow and Scikit-learn.
- Perform end-to-end data preprocessing (cleaning, transformation, feature engineering).
- Collaborate with data scientists, engineers, and analysts to deliver scalable ML solutions.
- Monitor and improve model performance in production environments.
- Communicate technical insights clearly to both technical and non-technical stakeholders.
- Stay up to date with the latest ML advancements and apply innovative approaches.
- Contribute to a culture of learning, mentorship, and continuous improvement.
Requirements:
- Strong expertise in TensorFlow and Scikit-learn.
- Solid experience in data preprocessing and feature engineering.
- Proven track record of building production-ready ML systems.
- Strong understanding of model evaluation, tuning, and algorithm selection.
- Excellent communication skills in a remote, collaborative environment.
- Self-driven, detail-oriented, and highly analytical.
Benefits:
- Work on impactful ML problems with real-world applications.
- Collaborate with a high-performing, global team.
- Flexible remote work with competitive compensation.
- Multiple openings with strong growth potential.
