Remote Machine Learning Engineer

at 700Apps

Posted 2 days ago 1 applied

Description:

  • 700Apps is looking for a talented Machine Learning Engineer to join their innovative team.
  • In this role, you will be responsible for designing, building, and deploying machine learning models that address real-world challenges.
  • You will collaborate with data scientists and software engineers to integrate machine learning algorithms into applications and ensure that the solutions are scalable and efficient.
  • Key responsibilities include designing and implementing machine learning models aimed at solving complex business problems.
  • You will work with data engineers to preprocess and clean datasets, ensuring high-quality data for model training.
  • Collaboration with cross-functional teams, including data scientists and software developers, is essential to integrate machine learning models into production systems.
  • You will monitor and optimize the performance of machine learning models, making improvements as needed.
  • Maintaining comprehensive documentation of model development processes, methodologies, and evaluations is required.
  • Staying updated on emerging trends in AI and machine learning, implementing new techniques and tools to improve capabilities is part of the role.
  • You will clearly communicate findings and solutions to stakeholders, providing insights into model performance and implications for the business.

Requirements:

  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field is required.
  • You must have 3+ years of experience in machine learning model development and deployment.
  • Strong proficiency in programming languages such as Python or Java is necessary, with experience using libraries like TensorFlow, Keras, or PyTorch.
  • Experience with data preprocessing, feature selection, and model evaluation techniques is essential.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for deploying machine learning solutions is required.
  • A solid understanding of machine learning concepts, algorithms, and best practices is necessary.
  • Excellent analytical and problem-solving abilities are required.
  • Strong communication skills are needed to effectively work with cross-functional teams and present technical information to non-technical stakeholders.

Benefits:

  • The position offers Private Health Insurance.
  • There are opportunities for Training & Development.
  • An Attractive Salary is provided.
  • Social Insurance is included as part of the benefits.
  • A Family Package is also offered.