[DH522] - Data Scientist - Gen AI Specialist

Indegene; Valladolid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A global consultancy is seeking experienced AI Specialists in Valladolid to develop and train Generative AI models. The ideal candidate will have strong skills in machine learning, document parsing, and experience with AWS technologies. This position offers an opportunity to drive innovation in the Pharmaceutical sector while working in an agile and diverse environment.

Formación

• Good knowledge in machine learning and Generative AI.
• Strong experience in building scalable (Gen) AI applications on AWS.
• Ability to clean and preprocess text using NLP techniques.

Responsabilidades

• Develop and train Generative AI models.
• Perform data analysis and prepare data for AI model training.
• Integrate AI models with Snowflake, AWS, and other systems.

Conocimientos

Machine learning

Generative AI

AWS Bedrock

Natural Language Processing (NLP)

Python

Document Parsing

Optical Character Recognition (OCR)

Git

Agile methodologies

Herramientas

PyMuPDF

Apache Tika

Textract

spaCy

NLTK

Hugging Face Transformers

FAISS

Qdrant

Pinecone

Weaviate

ChromaDB

Streamlit

Azure DevOps

Descripción del empleo

Who are we?

Indegene is a global consultancy at the forefront of driving innovation in the Pharmaceutical and Life Sciences industry, through combining medical and commercial expertise with innovative digital and AI technologies.

We enable global healthcare organizations address complex challenges and drive better health and business outcomes by seamlessly integrating analytics, technology, operations, and medical expertise. Find out more at indegene.com

Who are you?

We are looking for experienced AI Specialists to

- Develop and train Generative AI models.
- Perform data analysis and prepare data for AI model training.
- Integrate AI models with Snowflake, AWS and other systems.

Required knowledge:





- Good knowledge in machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI based models.
- Strong experience in building scalable (Gen) AI applications on AWS.
- Unstructured Data Processing & Extraction
- Document Parsing: Experience with PDF, Word, and HTML parsing using tools like PyMuPDF, Apache Tika, or Textract.
- Optical Character Recognition (OCR): Familiarity with Tesseract OCR, AWS Textract, or Azure Form Recognizer for extracting text from scanned documents.
- Natural Language Processing (NLP): Ability to clean, preprocess, and structure text using spaCy, NLTK, or Hugging Face Transformers, familiarity with NER Named Entity Recognition
- Vector Database & Embeddings
- Vector Databases: Expertise in FAISS, Qdrant, Pinecone, Weaviate, or ChromaDB for semantic search and retrieval.
- Embedding Models: Understanding of OpenAI, Cohere, or Sentence-BERT embeddings for document similarity and retrieval.
- Chunking & Indexing:



Experience in splitting large documents into meaningful chunks for efficient retrieval keeping in mind document structure and form and maintaining metadata
- Strong background and understanding of vector databases.
- Experience in building (Gen) AI solutions on Snowflake is a plus.
- Experience with Graph databases is a plus
- Experience with Agentic AI is a plus
- Good knowledge in Python for data science, as well as streamlit for rapid deployment of prototypes.
- Good knowledge in Git, ideally Azure DevOps.
- Experience to work in an agile and international environment.
- Experience in the setup and usage of CI/CD pipelines as well as writing software in a test-driven fashion.
- Good documentation and coaching practice

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin,



pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.

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