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    ML Engineer - Addison, United States - Resolve Tech Solutions

    Resolve Tech Solutions
    Resolve Tech Solutions Addison, United States

    3 weeks ago

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    Description

    Responsibilities:


    • Develop machine learning models and algorithms to address business needs.
    • Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions.
    • Clean, preprocess, and analyze large datasets to extract meaningful insights.
    • Deploy machine learning models into production environments and monitor their performance.
    • Continuously improve model accuracy and performance through experimentation and optimization.
    • Stay up-to-date with the latest advancements in machine learning and related technologies.
    • Communicate findings and results to stakeholders in a clear and concise manner.
    Requirements:


    • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
    • 2~5 years of experience in machine learning, data science, or a related field.
    • Proficiency in programming languages such as Python, Java, or Scala.
    • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
    • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
    • Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform.
    • GCP Professional Machine Learning Engineer certification is required.
    • Experience with version control systems such as Git.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication and collaboration skills.
    Preferred Qualifications:


    • Master's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
    • Experience with distributed computing frameworks such as Apache Spark.
    • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
    • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
    • Experience with natural language processing (NLP) or computer vision (CV) techniques.
    • Experience with continuous integration and continuous deployment (CI/CD) pipelines.
    • Contributions to open-source projects or participation in relevant communities.
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