Job description 

In this role, you will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications.

Responsibilities

•         Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly.

•         Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set.

•         Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data.

•         Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios.

•         Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes.

•         Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments.

•         Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI.

•         Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.

•         Verifying data quality, and/or ensuring it via data cleaning

•         Defining validation strategies & data augmentation pipelines

•         Designing, developing, and researching Machine Learning systems, models, and schemes

•         Good working knowledge on deep learning and advanced NLP techniques

•         Analyzing the use cases of ML algorithms and ranking them by their success probability

•         Should be excellent with Rasa Framework or any other chatbot interface.

•         Performing statistical analysis and using results to improve models.

•         Training and retraining ML systems and models in real-world situations

•         Visualizing data for deeper insights

•         Hands-On with Service / Incident Management tools: JIRA / ServiceNow

•         Knowledge and experience with Software Version Control systems: GIT, SVN etc.

Qualifications we seek in you!

Minimum Qualifications / Skills

•         B.Tech/B.E/ MCA

•         Excellent written and verbal communication skills

Preferred Qualifications

•          Machine learning

•          NLP and Advanced NLP Public

•         Deep Learning (CNN,ANN,RNN)

•          Rasa

•         Pandas, sql

•         Python

•         Django, Flask

•         Tensorflow

•         Keras

•         Chatbot Development

•         Agile

•         AWS

•         GIT

•         Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to

•         knowledge transfer within the team to foster a collaborative and learning-oriented environment.

•         Demonstrated expertise in artificial intelligence, machine learning, and deep learning.

•         Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g.,

•         TensorFlow, PyTorch)

•         Experience with reinforcement learning and transfer learning in the context of General AI.

•         Knowledge of cognitive science principles and their application to AI development.