
Senior AI Engineer
16 hours ago
This role is responsible for designing, developing and deploying advanced artificial intelligence solutions to automate business processes and enhance self-service applications.
Main Responsibilities:- Solution Development
- Design and develop cutting-edge AI solutions using machine learning algorithms and natural language processing techniques to streamline business processes and improve efficiency.
- Develop and deploy AI-powered automation tools to integrate with existing systems and workflows.
- Implement predictive models and reinforcement learning algorithms to enhance the performance and accuracy of self-service applications.
- Research and Innovation
- Conduct research on the latest advancements in AI and ML technologies to stay updated with industry trends.
- Experiment with new AI techniques and methodologies to improve the capabilities of conversational bots.
- Explore innovative ways to leverage AI and ML for automating complex tasks and improving decision-making processes.
- Automation Implementation
- Identify opportunities for automating business processes using AI and ML techniques.
- 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.
- Bachelor's Degree in Computer Science, Engineering, Information Technology or a relevant field from a recognized University.
- Minimum 3-5 years of experience in AI/ML development, with a focus on machine learning and NLP.
- 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 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.
- 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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