Exciting opportunity for a skilled and visionary Machine Learning Engineer to join our client, a dynamic and innovative food and biotech company that is revolutionizing the way we produce sustainable and nutritious food. As a Machine Learning Engineer, you will play a pivotal role in developing and implementing cutting-edge machine learning algorithms to optimize various processes, improve product quality, and drive the future of food technology.
- Design, develop, and deploy machine learning models and algorithms to tackle a range of challenges in the food and biotech industry, including process optimization, quality control, and predictive analytics.
- Collect, preprocess, and analyze large-scale datasets to uncover valuable insights and patterns.
- Apply state-of-the-art machine learning algorithms, including deep learning, reinforcement learning, and natural language processing, to solve complex problems.
- Build scalable and efficient machine learning pipelines to automate data processing, model training, and deployment.
- Bachelor's or master's degree in computer science, machine learning, or a related field.
- Proven experience in developing and deploying machine learning models, with a strong background in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages such as Python, Java, or C++, and experience with relevant machine learning libraries and tools.
- Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.
- Experience with large-scale data processing frameworks, such as Spark or Hadoop, and cloud-based platforms, such as AWS or GCP.
Can this be interesting for you or anyone you know? If so, please send Gabriel Andrade: email@example.com, your number/CV ASAP and I'll give you a call. Interviews will start next week.
Position: Machine Learning Engineer
Contract: Full time
Start Date: Immediately or by agreement