Demo

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test
USA, TX, TX Other
POSTED ON 1/12/2026
AVAILABLE BEFORE 1/12/2028
Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact.
  • Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.
  • Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training.
  • Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs.
  • Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.
  • Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders.
  • Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions.
  • Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
  • Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role.
  • Programming Proficiency:Strong coding skills in Python, Java, R, and/or C .
  • AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.
  • Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture.
  • Problem-Solving:Excellent analytical and problem-solving skills with attention to detail.
  • Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.
  • Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow).
  • Knowledge of big data technologies such as Hadoop or Spark.
Benefits
  • Competitive salary and compensation package.
  • Comprehensive health, dental, and vision insurance.
  • [401(k) matching or retirement plan].
  • Flexible work environment/remote options.
  • Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).

Salary : $4,167 - $8,333

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