Generative Ai
2 weeks ago
**Summary**:
As a **Generative AI** at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.
**Your role in our mission**:
Make your mark as Gainwell develops innovative, purpose-built technologies and solutions to deliver better health and human services outcomes.
- Support the full life cycle of development activities to assist us in delivering new services and technical products to clients
- Perform as an advisor and individual contributor for product systems, processes, software configuration, network architecture and interface capabilities
- Assist in preparing and addressing product requirements by determining usability and implementing change requests to meet business needs
- Deploy specific product configurations and bring your skills to overall system design and integration
- Participate in user acceptance testing and coordinate product launches into new and existing markets
- Get involved in helping define and outline business cases to ensure that our proposed solutions can deliver significant business benefits to clients
**What we're looking for**:
**Required Technical Skillsets**
**Mandatory Skills**:
- Proficiency in Generative AI frameworks and technologies like
- Expertise in designing and implementing chunking strategies for diverse datasets.
- Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
- Solid programming skills in Python, with experience in AIML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Familiarity with cloud platforms and services for AIML workloads (AWS or Azure).
**What you should expect in this role**:
**Desirable Skills**:
- Hands on experience with Amazon Bedrock and or Microsoft Azure OpenAI services.
- Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine tuning.
- Exposure to different chunking strategies, including overlap and semantic segmentation.
- Understanding of DevOps practices for deploying and managing AI models in production.
- Strong problem-solving and analytical skills with a focus on delivering value driven solutions.
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