
AI Automation Specialist
8 hours ago
Role Overview
This role involves designing, developing, and deploying AI-driven automation solutions to streamline business processes and enhance self-service applications.
">Key Responsibilities- Automation Solutions Development
- Develop Gen-AI based automation solutions using programming languages like Python, Java or similar technologies.
- Design and implement conversational bots and LLMs to automate tasks and improve efficiency.
- Implement advanced algorithms and models to enhance the performance of self-service applications.
- Integrate AI-driven tools with existing systems and workflows.
- Ensure scalability and reliability of AI solutions in production environments.
- Research and Innovation
- Stay updated on the latest advancements in AI and ML technologies through research and professional development.
- Experiment with new techniques and methodologies to improve conversational bot capabilities.
- Publish findings and contribute to the AI/ML community through papers, presentations, and conferences.
- Automation Implementation
- Identify opportunities for automating business processes using Gen-AI and LLMs.
- Develop and implement AI-driven automation solutions to optimize workflows and reduce manual intervention.
- Collaborate with process experts to understand requirements and design appropriate AI solutions.
- Evaluate the performance of automation solutions and make adjustments to improve efficiency.
- Integration and Support
- Integrate AI solutions with existing enterprise systems and applications.
- Provide technical support and troubleshooting for deployed AI solutions.
Required Skills and Qualifications
- Bachelor's degree in computer science, engineering, information technology or a relevant field from a recognized university.
- Minimum 3-5 years experience in AI/ML development with focus on Gen-AI and LLMs.
- 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.
- Familiarity with cloud AI/ML platforms like GCP & 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 Deduction, Natural Language Processing (including Sentiment Analysis, Topic Modelling), Natural Language Generation.
- Proficiency in data preprocessing, feature engineering, and data visualization.
- Experience with frameworks from 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.
- Excellent analytical & problem-solving skills with ability to think critically & creatively about complex business problems.
- Strong communication and leadership abilities.
- Ability to work collaboratively in a team environment.
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