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Urgent! Senior Machine Learning Engineer Job Opening In Providencia – Now Hiring Equifax

Senior Machine Learning Engineer



Job description

What You'll Do

  • Design, build, and implement complex systems for training and running machine learning models with sound architectural principles.

  • Define work for other engineers and mentor them through completion.

  • Understand business objectives and implement models to achieve those objectives along with metrics to track their progress.

  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues beyond the immediate team, including Product, Customer Success, and Sales/Marketing
  • Close collaboration with data scientists in deploying, retraining and maintaining models that the data scientists have built.

  • Apply development and testing best practices and demonstrate excellent software craftsmanship to produce maintainable, scalable, and quality solutions.

  • Manage work through all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.

  • Deliver on company initiatives and projects prioritized for your team and support long term technical vision.

  • Participate in peer design and code reviews.

  • Show determination and discipline to drive forward improvements and innovations that add value and move the IT organization forward.

  • Design & Build microservices-based data applications in Java and Python, with clear APIs and containerized deployments
  • Implement Apache Beam transforms in Java and Python to process terrabytes of data with low latency

What Experience You Need

  • BS degree in a STEM major or equivalent job experience required; Master's Degree preferred; AI/ML coursework preferred
  • 5-7 years of related experience
  • Proven track record of designing, developing, and deploying complex ML models in real-world applications
  • Experience with model performance evaluation and ML model optimization for accuracy, efficiency and scalability
  • Cloud Certification Strongly Preferred
  • Experience in Python, Python Libraries - NumPy, Pandas, Scikit-learn
  • ML Frameworks - Tensorflow, PyTorch, Keras, XGBoost etc
  • Handling large scale Big Data (Structured and unstructured): Apache, Apache Beam, Datawarehouse - BQ Analys
  • ML Model Development - Supervised, Unsupervised, Reinforcement learning.

  • MLOps Deployment - Docker, Kubernetes
  • Model Servicng - TensorFLow Serving, TorchServe


Required Skill Profession

Other General



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