Machine Learning Engineer

Location: Remote

Commitment: 5–10 hours per week (flexible)

Duration: 3–6 months (with potential extension)

Compensation: Unpaid / Volunteer (reference letter + portfolio credit provided)

We are a mission-driven organization focused on building technology solutions that create measurable social impact. Our team includes engineers, designers, and community leaders collaborating to deliver scalable, ethical, and data-driven products.

Role Overview

We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and deploy ML models that support our core initiatives. This is an excellent opportunity for someone looking to gain hands-on experience, contribute to meaningful projects, and expand their professional portfolio.

You will work closely with our technical and product teams to develop data pipelines, train models, and integrate intelligent features into production-ready systems.

Key Responsibilities

• Design, train, and evaluate machine learning models
• Clean, preprocess, and analyze structured and unstructured data
• Build and maintain data pipelines
• Deploy ML models into staging/production environments
• Collaborate with cross-functional teams to define ML requirements
• Document experiments, processes, and results
• Ensure ethical and responsible AI practices

Preferred Qualifications

• Experience with Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn
• Familiarity with data manipulation tools (Pandas, NumPy)
• Understanding of supervised and unsupervised learning techniques
• Experience with APIs and cloud platforms (AWS, GCP, or Azure) is a plus
• Knowledge of version control (Git)
• Strong analytical and problem-solving skills
• Ability to work independently in a remote environment

What You’ll Gain

• Real-world experience building and deploying ML systems
• Mentorship from experienced engineers
• A tangible project portfolio
• Letter of recommendation upon successful completion
• Opportunity to transition into a paid role (if available)

Ideal Candidate

• Passionate about AI and social impact
• Self-motivated and reliable
• Eager to learn and contribute
• Comfortable working in a collaborative, fast-paced environment

Please submit:

• Your resume
• GitHub or portfolio link
• A short statement (200–300 words) about why you’re interested