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 !**