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AI/ML Engineer

Aivanta Tech IncUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
DockerApache SparkAWSNLPScikit-learnApacheComputer VisionDeep LearningGoogle CloudHadoopJavaPyTorchPythonTensorFlowAzureKubernetesMachine LearningAgile

Job description

AI/ML Engineer

Join our innovative team as an AI/ML Engineer, where you will be at the forefront of developing and deploying cutting-edge artificial intelligence and machine learning models. You will work closely with data scientists, software engineers, and product managers to create solutions that leverage AI/ML to solve complex problems and drive business growth. Your role will involve designing, implementing, and optimizing AI/ML algorithms, ensuring they are robust, scalable, and efficient.

Responsibilities

  • Design, develop, and deploy AI/ML models to solve business problems.
  • Collaborate with cross-functional teams to understand requirements and deliver effective AI/ML solutions.
  • Preprocess and clean data to ensure high-quality inputs for model training.
  • Evaluate and optimize model performance using various metrics and techniques.
  • Stay updated with the latest advancements in AI/ML and incorporate them into current projects.
  • Document processes, model architectures, and results for reproducibility and future reference.
  • Provide insights and recommendations based on model outputs to stakeholders.
  • Participate in code reviews and contribute to maintaining a high standard of code quality.
  • Assist in the deployment and monitoring of AI/ML models in production environments.

Requirements

<>Required Skills
  • Strong understanding of machine learning algorithms and techniques.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) for deploying machine learning models.
  • Ability to work collaboratively in a team environment.
  • Excellent problem-solving skills and attention to detail.
  • Strong written and verbal communication skills.
<>Preferred Skills
  • Experience with natural language processing (NLP) and computer vision.
  • Knowledge of deep learning architectures and techniques.
  • Familiarity with big data technologies such as Apache Spark or Hadoop.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Background in statistics, mathematics, or a related field.
  • Previous experience in a fast-paced, agile development environment.

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