Artificial Intelligence Researcher
2 weeks ago
Job Description :
EV AI Edge Platform - AICOE
Join our team, where you'll have the unparalleled opportunity to explore the cutting edge of AI technologies, especially Generative AI, and directly influence our platform's roadmap. You will play a pivotal role in driving innovation, ensuring we remain industry leaders. You'll be at the forefront of groundbreaking projects, harnessing the latest advancements in machine learning, NLP, computer vision, and Large Language Models pushing the boundaries of AI capabilities and applications.
Beyond technical leadership, you'll be instrumental in mentoring and guiding project teams to success. Your expertise will help shape the next generation of AI talent within the organization, ensuring they develop the skills and knowledge to excel. You'll collaborate closely with clients, ensuring our AI solutions deliver transformative results and tangible value. It is an opportunity to make a profound impact with AI and Automation, contribute to pioneering technologies, and help clients unlock the full potential of artificial intelligence using Edge AI Platform. Join us and be part of a team that’s redefining the potential of AI and Automation.
General Qualifications:
Advanced Degree : BS, Master's or Ph.D. in Computer Science, Data Science, Statistics, or related fields.
Programming Skills : Proficiency in Python, Go, or similar programming languages.
Data Handling : Experience with large-scale data processing and analysis.
Machine Learning Frameworks : Proficiency with TensorFlow, PyTorch, Keras, or similar frameworks.
Communication Skills : Strong ability to communicate technical concepts to non-technical stakeholders.
Experience- 8+ yrs
Specialized Skills for Each Area :
Transformers :
- Model Training : Skills in training and fine-tuning transformer models.
- Architecture Understanding : Deep understanding of transformer architecture and its variants.
- Prompt Engineering
- Creative Problem-Solving : Ability to design effective prompts for various AI models.
- Model Interaction : Experience in interacting with models like GPT-3 for specific outputs.
AI Bias and Risks :
- Ethical AI : Knowledge of ethical considerations and bias in AI.
- Risk Assessment : Ability to assess and mitigate risks in AI systems.
Vision :
- Image Processing : Experience with image recognition, object detection, and computer vision techniques.
- Deep Learning for Vision : Familiarity with CNNs, GANs, and other neural network architectures for image processing.
- Natural Language Processing (NLP) :
- Language Models : Experience with modern NLP techniques and language models (e.g., BERT, GPT).
- Text Processing : Skills in text mining, text classification, sentiment analysis.
- NLP Libraries : Proficiency in NLP libraries like NLTK, SpaCy, Hugging Face Transformers.
PM and Collaboration :
- Collaboration Skills : Experience working in cross-functional teams.
- Project Management : Familiarity with agile methodologies and project management tools.
- Continuous Learning : Commitment to staying updated with the latest advancements in the field.
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