Machine Learning Engineer

700Apps is looking for a talented Machine Learning Engineer to join our innovative team. In this role, you will be responsible for designing, building, and deploying machine learning models that address realworld challenges. You will collaborate with data scientists and software engineers to integrate machine learning algorithms into applications and ensure that our solutions are scalable and efficient.

Key Responsibilities

• Model Development: Design and implement machine learning models aimed at solving complex business problems.
• Data Engineering: Work with data engineers to preprocess and clean datasets, ensuring highquality data for model training.
• Collaboration: Collaborate with crossfunctional teams, including data scientists and software developers, to integrate machine learning models into production systems.
• Performance Optimization: Monitor and optimize the performance of machine learning models, making improvements as needed.
• Documentation: Maintain comprehensive documentation of model development processes, methodologies, and evaluations.
• Research & Innovation: Stay updated on emerging trends in AI and machine learning, implementing new techniques and tools to improve our capabilities.
• Present Findings: Clearly communicate findings and solutions to stakeholders, providing insights into model performance and implications for the business.

• Requirements

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field.
  • 3+ years of experience in machine learning model development and deployment.
  • Strong proficiency in programming languages such as Python or Java, with experience using libraries like TensorFlow, Keras, or PyTorch.
  • Experience with data preprocessing, feature selection, and model evaluation techniques.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for deploying machine learning solutions.
  • Solid understanding of machine learning concepts, algorithms, and best practices.
  • Excellent analytical and problemsolving abilities.
  • Strong communication skills to effectively work with crossfunctional teams and present technical information to nontechnical stakeholders.

  • Benefits

    • Private Health Insurance
    • Training & Development
    • Attractive Salary
    • Social Insurance
    • Family Package