
AI Solutions Developer
17 hours ago
Key Responsibilities:
- Design, develop and deploy AI-powered automation solutions to enhance efficiency and streamline business processes.
- Develop and implement advanced algorithms and models to improve the performance and accuracy of self-service applications.
- Integrate AI-driven automation tools with existing systems and workflows.
- Ensure scalability and reliability of AI solutions in production environments.
Research and Innovation:
- Conduct research to stay updated with the latest advancements in AI technologies.
- Experiment with new techniques and methodologies to improve the capabilities of conversational bots.
- Explore innovative ways to leverage AI for automating complex tasks.
- Publish findings and contribute to the AI community through papers, presentations and conferences.
Automation Development:
- Identify opportunities for automating business processes using AI.
- 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.
Integration and Management:
- 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.
Educational Qualifications and Experience:
- Bachelor's Degree in a computer science, engineering or a relevant degree from a recognized University.
- Minimum of 3-5 years of experience in AI 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 frameworks.
- Strong understanding of NLP techniques and applications.
- Knowledge of cloud AI 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 Modelling), Natural Language Generation.
- Proficiency in data preprocessing, feature engineering and data visualization.
- Exposure to 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.
- Experience with voice recognition and synthesis technologies.
- Familiarity with reinforcement learning and other advanced ML techniques.
- Contributions to open-source AI projects.
- Understanding of CI/CD pipelines and DevOps practices.
- Knowledge of machine learning and artificial intelligence.
- Strong analytical and problem-solving skills with the ability to think critically and 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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