
Sophisticated AI Architect
19 hours ago
Job Overview:
We are seeking a highly skilled AI Engineer to drive the development and implementation of advanced artificial intelligence solutions.
Main Responsibilities:
- Development:
- Design, develop, and deploy AI-based automation solutions to enhance business processes and improve efficiency.
- Implement algorithms and models to optimize the performance and accuracy of self-service applications.
- Ensure scalability and reliability of AI solutions in production environments.
- Research and Innovation:
- Stay updated with the latest advancements in AI technologies through research and analysis.
- Experiment with new techniques and methodologies to improve the capabilities of conversational bots.
- 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.
- Integration and Management:
- Integrate AI solutions with existing enterprise systems and applications.
- Ensure seamless deployment of AI tools across various functions and business units.
Requirements:
- Bachelor's Degree in computer science, engineering, or a relevant field from a recognized University.
- Minimum 3-5 years of experience in AI development, with a focus on Gen-AI and LLMs.
- 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 & 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.
- Ability to work collaboratively in a team environment.
- Familiarity with Agile methodologies.
Working Environment:
The ideal candidate will have excellent analytical and problem-solving skills, strong communication abilities, and the ability to work effectively in a team environment.
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