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Associate Data Scientist
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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
How we work together
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.
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If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .
Job ID: 150542847
Skills:
Ml, Tensorflow, MLops, Pytorch, Gcp, Azure, Kubernetes, Python, AWS, GenAI, scikit-learn, Llm
Skills:
causal inference , Python, Deep Learning, Data Manipulation, Machine Learning, Graph-based Machine Learning, Transformers
Skills:
Machine Learning, Azure Databricks, Sql, Tensorflow, Git, Pytorch, XGBoost, Azure Synapse Analytics, Azure, Azure Machine Learning, Python, Statistical Analysis, Feature Engineering, Model Lifecycle Management, LightGBM, Scikit-learn, Cloud-based Data Science and Analytics, Production ML, Microsoft Fabric
Skills:
Data Science, Python, Traditional ML, Research Analysis, Data Designing, embeddings, unstructured datasets, LangChain, Generative AI models, LangGraph, GenAI frameworks, structured datasets, MLflow, Large Language Models, Data Analysis Interpretation, vector databases, Structured Query Language SQL, Regulatory Compliance, DL techniques, Statistical Methods, Weights Biases, text, Machine Learning Engineering Fundamentals, images, Statistical Programming Software, RAG architectures, prompt engineering
Skills:
vectorization , language translation , tokenization , Keras, Deep Learning, Tensorflow, Hadoop, AWS, Pytorch, Azure, Sentiment Analysis, Spark, Lemmatization, GPT, BERT, Entity Recognition, AI technologies, Stemming, SpaCy, Text Summarization, Generative AI
