Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : BE
Job summary
The AI / ML Engineer role outlined in your summary falls under the Artificial Intelligence (AI) and Machine Learning (ML) function. Here's a breakdown of how the role fits within this context:
Key Responsibilities:
- AI and ML Research & Development: Driving innovation in AI/ML technologies and leading R&D efforts to enhance performance and efficiency through advanced techniques.
- Natural Language Processing (NLP): Applying NLP for developing applications such as chatbots, conversational AI, and text mining, which is a core aspect of AI-driven business solutions.
- Model Optimization & Implementation: Building, optimizing, and deploying machine learning models to solve business problems.
- Collaboration & Leadership: Acting as a Subject Matter Expert (SME) and collaborating with other teams to provide technical leadership and solutions.
Core Skills:
- Deep Learning & Neural Networks: Understanding and working with deep learning models and neural networks, which are crucial components in AI/ML systems.
- Natural Language Processing (NLP): Expertise in NLP techniques, including chatbot development, text mining, sentiment analysis, and working with popular NLP libraries (NLTK, SpaCy, Gensim).
- Advanced AI/ML Algorithms: Hands-on experience with various machine learning models and tools, including deep learning algorithms.
Required Experience:
- Minimum of 5 years of experience specifically in Natural Language Processing (NLP), which is a key part of the role.
- Education: A Bachelor of Engineering (BE) degree is required, which aligns with the technical nature of AI/ML engineering roles.
Function:
- This role fits directly into the Artificial Intelligence (AI) and Machine Learning (ML) function, specifically with a focus on Natural Language Processing (NLP). It involves leveraging cutting-edge AI technologies to solve complex problems and improve business outcomes through automation, data analysis, and advanced machine learning applications.
