Artificial Intelligence & Data Science Engineer

As an experienced AI and Data Scientist Engineer, you will be responsible for designing and implementing data-driven AI solutions that enhance safety, operational efficiency, and compliance within industrial environments. Your role will entail the application of advanced machine learning techniques, data modeling, and analytics to derive actionable insights and foster innovation. Your key responsibilities will include: - Developing and deploying AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. - Implementing computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. - Collecting, preprocessing, and analyzing large datasets from industrial systems and safety processes. - Building predictive models, recommendation systems, and clustering algorithms to address business challenges. - Integrating AI/ML models into existing software systems, AR/VR platforms, and training simulators. - Creating APIs and tools to ensure accessibility of AI capabilities across various platforms. - Crafting intuitive dashboards and visualizations to effectively communicate data insights to stakeholders. - Generating detailed reports outlining analytical findings and model performance. - Exploring new AI technologies and frameworks to enhance safety and operational efficiency. - Conducting feasibility studies for incorporating emerging AI techniques into industrial solutions. - Collaborating closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company objectives. To be successful in this role, you should possess: - 3-7 years of experience in AI, data science, or related fields, with a proven track record of deploying machine learning models in production. - Proficiency in programming languages such as Python, R, or Java, along with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. - Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. - Hands-on experience with supervised, unsupervised, deep learning techniques, and reinforcement learning. Join us in leveraging AI and data science to drive innovation and enhance safety within industrial environments. Your expertise and skills will play a pivotal role in optimizing operational processes and ensuring compliance.,