NTT DATA's Client is seeking an AI/ML Engineer (NLP Specialist) to play a critical role in the development and delivery of Generative AI solutions, taking AI models from concept to production using generative AI and Large Language Models.
Requirements
- 2-3 years of hands-on experience in AI/ML and NLP.
- Proficiency in Python and relevant ML and NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, NLTK).
- Experience with data analysis, visualization tools, and NLP training methodologies.
- Familiarity with bot builder platforms (e.g., Dialogflow, Rasa, Microsoft Bot Framework, Kore.ai).
- Experience working with large language models (LLMs) such as GPT-4, BERT, LaMDA, PaLM, Vertex AI, LLaMA, Azure OpenAI Service.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
- Experience with MLOps practices.
Responsibilities
- Designing, implementing, and maintaining secure and stable AI/ML solutions using leading AI technology frameworks, including conversational AI solutions
- Aligning AI/ML use cases with business strategies and key performance indicators and other metrics
- Working closely and lead software engineers to build new applications to run on AI/ML platforms
- Perform data analysis, feature engineering, and NLP training to optimize model performance
- Monitoring current and future trends and advancements in AI, machine learning, and other emerging technologies
- Provide vision for relevant technology systems, including those that support enterprise risk management and independent compliance applications, ensuring that engineers use blueprints, architecture, patterns, and design.
- Explore and prototype Client techniques in generative AI/ML including fine-tuning, reinforcement learning with various of reward strategies, transfer learning, and multimodal alignment.
Other
- Collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions.
- Uses developed communication skills to negotiate and often at higher levels.
- Collaborate with cross-functional teams to integrate AI/ML and NLP solutions into existing products and systems.
- Bachelor's degree in AI, Data Science, Computer Science, Engineering or related disciplines; Master's degree in similar areas is a plus
