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Senior ML Engineer

RTS

Addison, TX, USonsite

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About this role

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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