BENGALURU · FULLTIME
Associate Data Scientist
Philips
Bengaluru · onsite · Posted 60d ago
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Not disclosed5–7 yrsfulltimeBengaluru
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Section · 01
About this role
Job Title
Associate Data Scientist
Job Description
Job Responsibilities:
Someone who can design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases
Hands on expertise in Large Language Models and prompt engineering
RAG architectures, vector databases, embeddings
Experiment tracking tools (MLflow, Weights & Biases)
Traditional ML/DL techniques
Work with structured and unstructured datasets (images, text)
Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments
Minimum Required Education
Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, Data Science or equivalent.
Minimum Required Experience
Minimum 7 years of experience with Bachelor's OR Minimum 5 years of experience with Master's in areas such as Data Analytics, Data Modeling or equivalent.
Preferred Skills
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company's facilities.
Field roles are most effectively done outside of the company's main facilities, generally at the customers or suppliers locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Associate Data Scientist
Job Description
Job Responsibilities:
Someone who can design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases
Hands on expertise in Large Language Models and prompt engineering
RAG architectures, vector databases, embeddings
Experiment tracking tools (MLflow, Weights & Biases)
Traditional ML/DL techniques
Work with structured and unstructured datasets (images, text)
Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments
Minimum Required Education
Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, Data Science or equivalent.
Minimum Required Experience
Minimum 7 years of experience with Bachelor's OR Minimum 5 years of experience with Master's in areas such as Data Analytics, Data Modeling or equivalent.
Preferred Skills
- Data Science
- Data Analysis & Interpretation
- Data Designing
- Python
- GenAI frameworks(LangChain, LangGraph)
- Vector Databases
- Machine Learning Engineering Fundamentals
- Statistical Methods
- Statistical Programming Software
- Research & Analysis
- Structured Query Language (SQL)
- Regulatory Compliance
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company's facilities.
Field roles are most effectively done outside of the company's main facilities, generally at the customers or suppliers locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
- Learn more about our business.
- Discover our rich and exciting history.
- Learn more about our purpose.
Sourced from foundit
Section · 02
Skills
Prompt EngineeringResearch Analysismlflowvector databasesEmbeddingsGenAI frameworksLarge Language Models (LLMs)RAG ArchitecturesStructured Query Language SQLWeights Biasestraditional MLPythonLanggraphLangchainStatistical MethodsMachine Learning Engineering FundamentalsStatistical Programming SoftwareDL techniques
Section · Company
About Philips
Philips
Medical Equipment
5.8k+
employees
1930
96 years old
Amsterdam
Netherlands
About
Philips specializes in health technologies, addressing healthcare challenges through innovative solutions in diagnostics, treatment, and patient monitoring.
Industries
Medical EquipmentConsumer goodsElectronics
Employee ratings
1,936 reviews
3.8/ 5
Culture
3.7
Career growth
3.0
Work-life
3.9
Employees rate it well for
Work Life Balance335Work Culture201Senior Management157Salary151Learning116
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