Data Scientist (Generative AI) -Solution Specialist - USDC
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Work you'll do
The Generative AI Engineer will, as part of several client delivery teams, be responsible for developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences. Additionally, the Generative AI Engineer will participate in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review. The kinds of activities performed by the Prompt Engineer will also include, but not be limited to:
• Working across client teams to develop and architect Generative AI solutions using ML and GenAI
• Developing and promoting standards across the community
• Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies
• Working with leadership and stakeholders to identify AI opportunities and promote strategy.
• Developing and conducting trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.
• Building and prioritizing backlog for future machine-learning enabled features to support client business processes.
• You'll design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch.
• Once your model is built, you'll train it on the prepared data, fine-tuning hyperparameters to achieve optimal performance. You'll then evaluate the model's outputs to assess its effectiveness and identify areas for improvement.
• You'll collaborate with other engineers to integrate your generative AI solution into existing systems or develop new applications. This might involve deploying the model on cloud platforms for scalability.
• The field of generative AI is rapidly evolving. Staying abreast of the latest research, advancements, and ethical considerations in AI development is an ongoing process.
The TeamArtificial Intelligence & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Qualifications
Required:
• 3+ years of experience programming in Python or R.
• Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK is required
• 3+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 3+ years of experience building and maintaining scalable API solutions
• Experience working with RAG technologies and LLM frameworks (Langchain, Claude and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS , Milvus , OpenSearch, Pinecone etc.)
• Experience working with Retrieval Augmented Thoughts (RAT) and chain of thoughts.
• Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostGres), etc.
• Experience working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernet
Location: Lake Mary, FL
Posted: Nov. 3, 2024, 10:23 p.m.
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