Senior Machine Learning Engineer

21 hours ago

Schaumburg, Illinois, United States Tackle AI Full time
Job Title: Senior Machine Learning Engineer

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Tackle AI. As a key member of our AI startup, you will be responsible for designing, implementing, and deploying cutting-edge machine learning solutions that drive business value.

Key Responsibilities:
  • Design and develop machine learning pipelines and frameworks using Python, TensorFlow, and PyTorch.
  • Research and apply state-of-the-art machine learning techniques to solve complex problems.
  • Evaluate and optimize the performance and scalability of machine learning models and systems.
  • Build end-to-end machine learning pipelines, including data ingestion, preprocessing, feature engineering, model training, validation, and deployment.
  • Conduct experiments and perform statistical analysis to evaluate model performance and identify areas for improvement.
  • Document and communicate your work and results to stakeholders and peers.
  • Test, debug, and monitor the performance and reliability of AI systems and applications.
Requirements:
  • Bachelor's Degree or higher in Computer Science, Engineering, Mathematics, or a related field.
  • At least 3 years of professional experience in machine learning, data science, or software engineering.
  • Proficiency in Python and one or more machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Knowledge of machine learning concepts and methods such as supervised learning, unsupervised learning, deep learning, natural language processing, computer vision, or reinforcement learning.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience in using agile methodologies such as Scrum or Kanban.
  • Excellent communication, leadership, and problem-solving skills.
Nice to Have:
  • Master's Degree in a Computer or Engineering related field.
  • Exposure to.NET technologies such as ASP.Net core.
  • Experience with other languages such as Python, Rust, and C++, and C#.
  • DevOps experience, Working knowledge of Docker, Kubernetes.
What We Offer:
  • A competitive salary and variable compensation package.
  • Flexible, hybrid work schedule.
  • Health insurance coverage through Blue Cross Blue Shield.
  • Vision, Dental, Life, STD, and LTD coverage offerings available.
  • 11 paid holidays.
  • 160 hours Paid Time Off annually.
  • 401(k) – Roth, Traditional, or both.
  • Diversity focused, inclusive and safe environment.
  • Collaborative and supportive work environment.
  • The chance to learn from and grow with industry experts.

If you are passionate about machine learning and AI, and want to be part of a dynamic and talented team, please submit your resume and portfolio. We look forward to hearing from you.

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