Generative AI Data Scientist
About The Position
CTG is seeking to fill a Generative AI Data Scientist position for our client. This role involves architecting, designing, and delivering AI and Generative AI solutions using foundation models and Large Language Models (LLMs). The position requires applying advanced analytics, Machine Learning (ML), Natural Language Processing (NLP), and cognitive computing techniques to solve complex business problems. The Data Scientist will analyze and derive insights from both structured and unstructured data, translate business requirements into scalable, enterprise-grade AI solutions, and lead AI projects through the full lifecycle. Responsibilities include developing and integrating enterprise AI applications, leveraging AI-assisted development tools, developing solutions for unstructured content, collaborating with stakeholders, and evaluating emerging AI technologies.
Requirements
- Glean AI required.
- Strong expertise in Artificial Intelligence (AI) and Data Science.
- Expert knowledge of Machine Learning (ML), Large Language Models (LLMs), and Foundation Models.
- Hands-on experience with Natural Language Processing (NLP) and cognitive computing.
- Strong programming skills in Python.
- Experience with AI/ML frameworks including TensorFlow, PyTorch, Keras, or Hugging Face.
- Experience with data science libraries such as Scikit-learn, Pandas, and Matplotlib.
- Strong understanding of structured and unstructured data analysis.
- Experience with cloud platforms and technologies such as AWS, Azure, GCP, and Kubernetes.
- Familiarity with relational and NoSQL databases, including SQL, PostgreSQL, DB2, and MongoDB.
- Familiarity with AI-assisted development tools such as GitHub Copilot and Amazon CodeWhisperer.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Strong business acumen and ability to translate business needs into technical solutions.
- Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
Nice To Haves
- Experience with modern UI technologies such as React.js, AngularJS, Backbone.js, Ember.js, Bootstrap, or jQuery is a plus.
- Experience working across Linux, Windows, iOS, and/or Android environments is a plus.
Responsibilities
- Architect, design, and deliver AI and Generative AI solutions using foundation models and Large Language Models (LLMs).
- Apply advanced analytics, Machine Learning (ML), Natural Language Processing (NLP), and cognitive computing techniques to solve complex business problems.
- Analyze and derive insights from both structured and unstructured data.
- Translate business requirements into scalable, enterprise-grade AI solutions and applications.
- Lead AI projects through the full lifecycle, including research, prototyping, development, deployment, and production support.
- Develop and integrate enterprise AI applications using modern AI technologies and platforms.
- Leverage AI-assisted development tools such as GitHub Copilot, Amazon CodeWhisperer, or similar technologies.
- Develop solutions for unstructured content using NLP and related AI techniques.
- Collaborate with business stakeholders and technical teams to define requirements and deliver data-driven solutions.
- Evaluate and apply emerging AI technologies to support business objectives.
Benefits
- competitive benefit package
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What This Job Offers
Career Level
Senior
