Apolis ยท 6 days ago
Data Scientist
Apolis is a company seeking a Data Scientist to join their Analytics team. The role involves developing models using Natural Language Processing, building machine learning workflows, and collaborating with cross-functional teams to integrate AI applications.
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Responsibilities
As a Data Scientist, you will work within the Analytics team to develop models using Natural Language Processing along with many other techniques
Developing ML models that allow us to be prescriptive as opposed to reactive
Staying informed of next generation data and analytical tools
Converting ad hoc analyses into scalable solutions and tools that can be used on demand as self-serve
Helping reveal actionable insights for individuals within various business functions
Cleaning, prepping and verifying the integrity of data for analyses
Demonstrable knowledge of common coding languages (Python, SQL, R) with ability to learn new skills and apply skills in new environments
Experience in Developing and Deploying GenAI Solutions: Building and fine-tuning generative AI/LLM solutions using AWS Bedrock and available foundation models like Claude, Llama, and Titan
Building ML Workflows: Leveraging a wide range of AWS services (S3, Lambda, SageMaker, API Gateway, etc.) to build end-to-end machine learning workflows
Implementing RAG Architectures: Designing and building Retrieval Augmented Generation (RAG) pipelines and developing custom embeddings and vector search solutions
Prompt Engineering and Optimization: Creating effective prompt engineering strategies, evaluation frameworks, and model optimization techniques
Collaboration: Working with cross-functional teams, including data engineers and software engineers, to integrate AI applications into existing systems and translate business problems into scalable AI solutions
Monitoring and Governance: Ensuring data quality, security, and compliance, and setting up monitoring and governance for production-ready AI applications
Qualification
Required
Need someone who can attain Security clearance
Demonstrable knowledge of common coding languages (Python, SQL, R) with ability to learn new skills and apply skills in new environments
Experience in Developing and Deploying GenAI Solutions: Building and fine-tuning generative AI/LLM solutions using AWS Bedrock and available foundation models like Claude, Llama, and Titan
Building ML Workflows: Leveraging a wide range of AWS services (S3, Lambda, SageMaker, API Gateway, etc.) to build end-to-end machine learning workflows
Implementing RAG Architectures: Designing and building Retrieval Augmented Generation (RAG) pipelines and developing custom embeddings and vector search solutions
Prompt Engineering and Optimization: Creating effective prompt engineering strategies, evaluation frameworks, and model optimization techniques
Collaboration: Working with cross-functional teams, including data engineers and software engineers, to integrate AI applications into existing systems and translate business problems into scalable AI solutions
Monitoring and Governance: Ensuring data quality, security, and compliance, and setting up monitoring and governance for production-ready AI applications