Humana is establishing dedicated teams to build AI solutions for targeted business opportunities in underwriting and claims. As a Senior Data Engineer / Scientist, you will be embedded in a delivery team and assigned to specific GenAI use cases, requiring deep engagement and a results-oriented mindset to implement effective solutions.
What You'll Do
- Develop scalable data and analytics infrastructures to support the development and deployment of GenAI solutions.
- Develop and refine GenAI models, prompts, and associated analytical components.
- Translate business requirements into technically feasible, value-oriented solutions.
- Lead data integration activities and ensure robust operational deployment of GenAI pipelines.
- Ensure data quality, compliance, and risk control across all workflows—from data ingestion to model deployment.
- Identify capacity and competency requirements to support the overall AI roadmap.
- Support cross-functional teams in implementing scalable patterns, reusable components, and well-managed AI assets.
- Take responsibility for data acquisition, transformations, and evaluation metrics for GenAI workflows.
- Deliver high-quality agent logic and performance insights to improve GenAI workflows.
What We're Looking For
- Proficiency with big-data tools like Spark and Hadoop and modern data architectures.
- Strong experience in ML models with frameworks like sklearn and how to test and monitor them.
- Experience with GenAI, LLM frameworks like LangChain and methods like Transformers, RLHF, and fine-tuning.
- Strong programming skills, especially in Python, SQL, and at least one additional language.
- Experienced in using visualization/dashboard frameworks from the Python universe like streamlit, plotly, or bookeh.
- Experience deploying GenAI pipelines, including prompt chains, embeddings, retrieval systems, and vector databases, into production environments.
- Familiarity with cloud GenAI platforms such as Azure OpenAI, AWS Bedrock, and GCP Vertex AI.
- Experience with analytics or visualization tools like Power BI or Tableau.
- Availability for an initial on-site presence in Hanover during the first weeks.
- Willingness and readiness to travel as required by project or client needs, including occasional domestic or international travel.
Technical Stack
- Big Data: Spark, Hadoop
- ML/AI: sklearn, LangChain
- Languages: Python, SQL
- Visualization: streamlit, plotly, bookeh
- Cloud Platforms: Azure OpenAI, AWS Bedrock, GCP Vertex AI
- Analytics Tools: Power BI, Tableau
Team & Environment
You will be embedded in a delivery team assigned to specific AI use cases, working closely to develop and implement solutions.
Benefits & Compensation
- Compensation: €4,000 - €6,500 per month.
- Learning opportunities with compensated certificates, learning lunches, and language lessons.
- Chance to switch projects after one year.
- Team building twice a year.
- Vilnius office offers themed lunches and a pet-friendly environment.
- Remote work opportunities.
- Flexible time off depending on a project.
- Seasonal activities with colleagues.
- Additional health insurance and loyalty days for Lithuanian residents.
- Referral bonuses.
- Recognition of important occasions in your life.
Work Mode
This role offers remote work opportunities. There is an initial on-site presence required in Hanover for the first weeks. Willingness to travel as needed is expected.
Humana is an equal opportunity employer.
