Responsible AI Engineer

Project Role : Responsible AI Engineer
Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved.
Must have skills : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients.

Roles & Responsibilities:
- 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.
- Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots.
- Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
- Implement and optimize NLP algorithms and models to improve performance and accuracy.
- Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage.
- Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity.
- Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance
- Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques
- Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment


Professional & Technical Skills:
- Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning
- Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM
- Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits
- Experience in implementing various NLP algorithms and models.
- Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly
- Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it
- Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization
- Have worked with RNN, LSTM etc.
- Work exp in creating NLP pipelines for processing large amount of document corpus
- Expertise with Python

Additional Information:
- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.
-Be a self-starter and a fast learner
- Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges
- Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills
Qualification
15 years full time education