C1

AI Developer - C1 Gov

C1

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSAzureCloudCyber SecurityDockerHadoopJavaKubernetesPythonPyTorchScikit-LearnSparkSQLTensorflowVMware

About the role

  • Overview: As an AI Developer, you will be responsible for designing, developing, and deploying AI models and systems that drive meaningful outcomes for our customers.
  • You will collaborate with cross-functional teams to identify opportunities for automation, optimization, and innovation.
  • This role requires a strong foundation in machine learning, deep learning, and data science, as well as a passion for solving challenging problems.
  • Responsibilities:
  • Model Development: Design, develop, and train machine learning and deep learning models for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems.
  • Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability.
  • System Integration: Integrate AI models into existing software architectures, ensuring seamless functionality and optimal performance.
  • Research & Innovation: Stay current with the latest AI research and trends; propose and implement innovative solutions to enhance our AI capabilities.
  • Collaboration: Work closely with product managers, data scientists, and software engineers to define project requirements and deliver AI-powered solutions.
  • Testing & Evaluation: Develop rigorous testing methodologies to evaluate the performance and reliability of AI systems; troubleshoot and optimize model performance.
  • Documentation: Maintain clear and comprehensive documentation of models, experiments, and code for future reference and knowledge sharing.
  • Compliance & Ethics: Ensure that all AI solutions adhere to ethical guidelines, data privacy standards, and regulatory requirements.

Requirements

  • Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Proven experience in developing and deploying AI/ML models in a production environment.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop).
  • Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Hugging Face Ecosystem: Demonstrated experience using Hugging Face tools such as the Transformers library, Datasets, and Tokenizers. Familiarity with integrating pre-trained models and fine-tuning them for specific applications is highly desirable.
  • Analytical Skills: Strong problem-solving abilities with a keen attention to detail; ability to work with large datasets and extract meaningful insights.
  • Communication: Excellent verbal and written communication skills; ability to clearly explain complex technical concepts to non-technical stakeholders.