Python Machine Learning Engineer
Explore this ai & data opportunity. The information below summarizes the supplied role details; check the application page for the latest requirements and availability.
Role highlights & qualifications
- ML/Data Engineering
- PythonPython for Data ScienceMachine LearningPyTorchKerasScikit-LearnPandasComputer VisionOpenCV
- We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.
- Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.
- Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.
- Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.
- 4+ years of hands-on DS/ML development experience,
- Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference
- Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.).
Information is summarized from the supplied job posting. Please verify location eligibility, compensation, contractual terms and current availability on the application page.