Data Engineer AI
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Job Location:
Monthly Salary:
Posted on:
23 hours ago
Vacancies:
1 Vacancy
Job Summary
Work Schedule
OtherEnvironmental Conditions
OfficeJob Description
About Company:
We help our customers accelerate life sciences research tackle sophisticated analytical challenges improve patient diagnostics deliver medicines to market and increase laboratory efficiency.
Team Description: We are the Automation AI and Data (AAD) team specializing in delivering data engineering and analytics automation and AI solutions to diverse groups and divisions across Thermo Fisher Scientific.
Responsibilities:
- Perform data analysis exploration and preparation to support business use cases.
- Build and develop data pipelines in Python/Databricks and collaborate with cloud data platforms.
- Apply Generative AI techniques to compose prototypes develop insights and improve solutions.
- Work with diverse teams to grasp requirements and convert them into data-driven/AI-driven results.
- Conduct unit testing validation and data quality checks for datasets pipelines and AI outputs.
- Build and develop RESTful APIs to enable communication between different software components.
- Follow agile and DevOps practices for continuous development testing and deployment.
- Contribute to data governance documentation and guidelines for balanced data and AI solutions.
Requirements:
- Strong proficiency in Python with 6 years of experience with a focus on both data engineering (pandas PySpark Databricks) and AI (transformers LLM frameworks).
- Proficient knowledge of SQL and capability to handle relational and non-relational data.
- Familiarity with cloud platforms (AWS Azure or GCP) and data lake/warehouse concepts.
- Exposure to Generative AI tools and frameworks (e.g. LangGraph LangChain OpenAI APIs).
- Awareness of timely engineering fine-tuning embeddings and LLM evaluation.
- Familiarity with BI/visualization tools (Power BI Tableau or similar).
- Understanding of modern practices like DataOps MLOps or equivalent experience and AI/GenAI Ops.
- Strong analytical and problem-solving skills with the ability to handle ambiguity.
- Excellent written verbal and interpersonal communication skills.
- Skill in collaborating efficiently with international teams spanning various regions and time zones.
- Curiosity to explore and implement evolving data engineering and Generative AI technologies.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Electron microscopes reveal hidden wonders that are smaller than the human eye can see. They fire electrons and create images, magnifying micrometer and nanometer structures by up to ten million times, providing a spectacular level of detail, even allowing researchers to view single a ... View more
