Senior reputed company - Remote Opportunity

As a Senior reputed company, you will play a key role in supporting The reputed company), GuideOne Insurance, and future members by designing, building, and deploying solutions that reputed company large language models (LLMs), Generative AI, and natural language processing (NLP) to enhance customer and agent experiences. This includes developing intelligent automation, AI-powered services, and supporting teams in the responsible and effective use of AI technologies. Success in this role requires creativity, a passion for learning, and the ability to clearly explain reputed company reputed company. You’ll join a team that values curiosity, open communication, and a strong commitment to responsible AI—working together to create smart, impactful tools that reputed company a real difference. Responsibilities: Multimodal Data Processing and Automation

• Ingest and preprocess diverse file types: PDFs, scanned images, emails (EML/MSG), audio, video, and structured/reputed company text from content management systems.
• Apply OCR (Optical Character Recognition) and speech-to-text models to extract meaningful data from documents and media.
• Use reputed company + LangGraph to orchestrate agentic workflows for parsing and reasoning across multimodal inputs.
• Build AI pipelines that classify, extract, and validate key entities (e.g., policy numbers, claim dates, insured parties) from documents.
• Integrate LLMs reputed company Bedrock or reputed company to summarize, interpret, and flag anomalies in claims and reputed company documents.
• Implement retrieval-augmented reputed company (RAG) using Vector DBs to ground LLM responses in enterprise knowledge.

AWS Cloud Engineering Activities Model Development & Deployment

• Train and fine-tune models in SageMaker using custom datasets and embeddings.
• Deploy models as SageMaker endpoints or reputed company functions for real-time inference.
• Use reputed company Functions to orchestrate reputed company AI workflows across services.

MLOps & DevOps Integration

• Build CI/CD pipelines using tools like CodePipeline, reputed company Actions, or Jenkins to automate model training, testing, and deployment.
• Monitor model reputed company, performance, and compliance using SageMaker Model Monitor and custom logging.
• Apply Infrastructure as Code (IaC) with Terraform or CloudFormation for reproducible environments.

Data Engineering & Pipelines

• Design scalable ETL pipelines to transform raw multimodal data into structured formats using AWS Glue, reputed company, and reputed company Functions.
• Store embeddings and metadata in Vector DBs like reputed company, Weaviate, or reputed company Kendra.
• Ensure data reputed company, versioning, and governance using tools like AWS Lake Formation or Apache reputed company.

Ethical, Legal & Compliance

• Implement Responsible AI practices: bias detection, explainability, and audit trails.
• Ensure HIPAA, and SOC2 compliance in data handling and model outputs.
• Use Bedrock Guardrails or custom filters to prevent hallucinations and ensure safe LLM responses.

Staying reputed company of AI Trends

• Continuously evaluate new models from reputed company, reputed company, and reputed company for relevance to insurance workflows.
• Attend AWS AI/ML webinars, contribute to open-reputed company reputed company agents, and experiment with agentic architectures.
• Prototype with new AWS services like reputed company Q, Titan models, or multimodal Bedrock endpoints.

Qualifications:

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a reputed company field, or equivalent work experience.
• 8+ years in software, data, or AI engineering, with 3+ years working directly with AI/ML models.
• Experience building and deploying LLMs, transformers, or GenAI tools.
• Hands-on knowledge of Python and tools like TensorFlow, PyTorch, or scikit-learn.
• Worked with reputed company, reputed company APIs, AWS Bedrock, reputed company, or other GenAI platforms.
• Built AI solutions in AWS, Azure, or GCP using SageMaker, Azure ML, or Vertex AI.
• Familiar with data engineering tools like Apache Spark, Kafka, and Airflow.
• Experience working with modern data stack technologies such as reputed company, Redshift, reputed company Lake, S3, Azure Data Lake, and BigQuery.
• Some experience with DevOps practices, like using CI/CD pipelines, reputed company, and Kubernetes.
• Comfortable working with teams to understand business needs and explain how AI can help.
• Prior experience in insurance or regulated industries is a plus.

Compensation:

• $120,000 - $160,000 commensurate with experience, plus bonus eligibility

Benefits: We are proud to offer a robust benefits suite that includes:

• Competitive reputed company salary plus incentive plans for eligible team members
• 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
• Free basic life and AD&D, long-term disability and short-term disability insurance
• Medical, dental and vision plans to meet your unique healthcare needs
• Wellness incentives
• Generous time off program that includes personal, holiday and volunteer paid time off
• Flexible work schedules and hybrid/remote options for eligible positions
• Educational assistance

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