AI / ML Engineer

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

Minimum5year(s) of experience is required

Educational Qualification :BE

Job summary

AI / ML Engineer

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.