CTG is seeking to fill a Generative AI Data Scientist position for our client.
Location: Remote
Duration: 2 months
Duties:
- 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.
Skills:
- 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.
Experience:
- Extensive experience architecting, designing, and delivering AI and Generative AI solutions.
- Proven experience implementing enterprise AI applications and integrations.
- Experience working with Foundation Models and LLM-based solutions.
- Experience with the full AI project lifecycle, from research and prototyping through production deployment.
- Strong experience applying NLP, ML, and advanced analytics to complex business problems.
- Experience with at least one specialized AI domain such as NLP, image processing, video processing, voice processing, or Watson technologies.
- Experience working 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.
This is a contract W2 role, CANNOT do C2C, C2H or 1099.