
AI Automation Specialist
6 days ago
This role involves designing, developing, and deploying cutting-edge AI solutions to automate business processes and enhance self-service applications.
- Develop innovative automation solutions using AI and machine learning to streamline business operations and improve efficiency.
- Design, develop, and deploy AI-based solutions to enhance the performance and accuracy of self-service applications.
- Implement advanced algorithms and models to optimize workflow automation.
- Integrate AI-driven automation tools with existing systems and workflows.
- Ensure scalability and reliability of AI solutions in production environments.
- Conduct research to stay updated with the latest advancements in AI and machine learning technologies.
- Experiment with new techniques and methodologies to improve the capabilities of AI solutions.
- Explore innovative ways to leverage AI for automating complex tasks.
- Publish findings and contribute to the AI community through papers, presentations, and conferences.
- Identify opportunities for automating business processes using AI and machine learning.
- Develop and implement AI-driven automation solutions to optimize workflows and reduce manual intervention.
- Collaborate with process experts to understand process requirements and design appropriate AI solutions.
- Monitor and evaluate the performance of automation solutions, making necessary adjustments to improve efficiency.
- Integrate AI solutions with existing enterprise systems and applications.
- Ensure seamless deployment of AI-driven automation tools across various functions and business units.
- Develop APIs and microservices to facilitate the integration of AI solutions with other software systems.
- Provide technical support and troubleshooting for deployed AI solutions, ensuring minimal downtime and disruption.
- Bachelor's Degree in Computer Science, Engineering, or a relevant field from a recognized University.
- Minimum 3-5 years of experience in AI/ML development, with a focus on AI and machine learning.
- Proficiency in Python, Java, or other relevant programming languages.
- Experience with TensorFlow, PyTorch, Keras, and other AI/ML frameworks.
- Strong understanding of NLP techniques and applications.
- Knowledge of cloud AI/ML platforms like GCP and Azure.
- Knowledge of ML techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / Engineering, Anomaly Detection, Natural Language Processing (including Sentiment Analysis, Topic Modeling), Natural Language Generation.
- Proficiency in data preprocessing, feature engineering, and data visualization.
- Exposure to frameworks like LangChain.
- Experience with deploying models using Docker, Kubernetes, or similar technologies.
- Proficiency with version control systems like Git.
- Experience in developing and integrating APIs and microservices.
- Experience with automation frameworks and tools.
- Experience with voice recognition and synthesis technologies.
- Familiarity with reinforcement learning and other advanced ML techniques.
- Contributions to open-source AI/ML projects.
- Understanding of CI/CD pipelines and DevOps practices.
- Knowledge of machine learning and artificial intelligence.
- Strong analytical & problem-solving skills with the ability to think critically & creatively about complex business problems.
- Excellent communication and leadership abilities.
- Ability to work collaboratively in a team environment.
- Familiarity with Agile methodologies.
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