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    AI/Machine Learning Engineer - Fremont, United States - 4 Staffing Corp

    4 Staffing Corp
    4 Staffing Corp Fremont, United States

    1 week ago

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    Description

    About the job AI/Machine Learning Engineer

    Job Description:Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning algorithms and AI models to solve complex problems and drive innovation. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to design, train, evaluate, and deploy machine learning models in production environments.

    Responsibilities:

    • Design and develop machine learning models and algorithms for various applications, such as natural language processing, computer vision, predictive analytics, and recommendation systems.
    • Collaborate with data scientists, software engineers, and domain experts to understand project requirements, identify data sources, and define appropriate machine learning approaches.
    • Preprocess and clean large datasets to extract relevant features and optimize model performance.
    • Implement and fine-tune machine learning models using popular frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
    • Conduct experiments to evaluate model performance, analyze results, and iterate on model designs to achieve optimal accuracy, efficiency, and scalability.
    • Collaborate with software engineering teams to integrate machine learning models into production systems and deploy them at scale.
    • Monitor and maintain deployed models, ensuring their performance and reliability over time.
    • Stay up to date with the latest advancements in machine learning and AI technologies, and proactively propose innovative solutions and improvements.
    Requirements:
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
    • Strong background in machine learning, artificial intelligence, and statistical analysis.
    • Demonstrated experience in designing, developing, and deploying machine learning models and algorithms.
    • Proficiency in programming languages such as Python, R, or Java, with a solid understanding of data structures, algorithms, and software engineering principles.
    • Hands-on experience with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
    • Familiarity with deep learning techniques and frameworks, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
    • Experience with data preprocessing, feature engineering, and model evaluation techniques.
    • Strong analytical and problem-solving skills, with the ability to think critically and creatively to tackle complex challenges.
    • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
    • Ability to adapt quickly to new technologies and methodologies in the rapidly evolving field of AI and machine learning.
    Preferred Qualifications:
    • Experience with cloud platforms (e.g., AWS, Azure, or GCP) and distributed computing frameworks (e.g., Apache Spark) for training and deploying machine learning models at scale.
    • Knowledge of big data technologies, such as Hadoop and Spark, for processing and analyzing large datasets.
    • Experience with computer vision, natural language processing, or other specialized domains within AI/ML.
    • Publications or contributions to the AI/ML community, such as research papers or open-source projects.
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