Python Machine Learning Engineer (Remote)

• Title: Python Machine Learning Engineer (Remote)
• Engagement: Hourly contract (independent contractor)
• Location: Remote

Role Overview

One of our global AI-focused clients is seeking an experienced Python Machine Learning Engineer to design, build, and deploy advanced ML solutions. This role requires both strong hands-on technical expertise and the ability to guide ML initiatives from architecture to production.

You will work cross-functionally to translate business challenges into scalable machine learning systems while ensuring high performance, reliability, and measurable impact.

What You’ll Do

• Own end-to-end ML solution development, including data pipelines, modeling, deployment, and monitoring
• Translate business objectives into scalable ML architectures
• Collaborate with Product, Engineering, and Business stakeholders to define problem statements and KPIs
• Apply supervised and unsupervised learning techniques to real-world problems
• Develop solutions across time-series forecasting, NLP, computer vision, and statistical modeling
• Optimize models for scalability, performance, and production reliability
• Apply state-of-the-art research advancements where relevant

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or related field
• 4 years of hands-on ML/DS experience
• Strong expertise in Python and core libraries (Pandas, NumPy, Scikit-learn)
• Experience with NLP, time-series forecasting, statistical modeling, and ML evaluation metrics
• Strong knowledge of feature engineering, model tuning, and data preprocessing
• Experience designing and deploying production-grade ML systems
• Ability to apply appropriate modeling techniques to real-world business use cases

Preferred Qualifications

• Deep learning expertise (CNNs, RNNs, Transformers)
• Experience with PySpark and Databricks
• Experience with AWS or cloud-based ML platforms
• Exposure to competitive ML environments (e.g., Kaggle, benchmark challenges)
• Experience experimenting with new techniques from research publications

Engagement Details

• Contractor assignment (no medical/paid leave)
• Duration: 3 months (expected start next week)
• Commitment: 20–40 hrs/week with 4-hour PST overlap
• Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Interview Process

• Technical Interview (60 mins)
• Onboarding & Cultural Discussion (15 mins)

APPLY NOW !