Data Scientist
Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Were seeking a versatile Data Scientist / LLM Engineer who is passionate about solving realworld semiconductor manufacturing problems with advanced analytics machine learning and large language models (LLMs). Youll join a highimpact team to build finetune and integrate LLMpowered solutions into production systems that deliver measurable value and delight our large customer base of manufacturing facilities around the world.
Responsibilities
Design develop and deploy machine learning features and applications with a focus on LLMbased solutions (e.g. RAG systems analytical chat bots plain language data analysis).
Collaborate with crossfunctional teams to understand business needs and translate them into modern LLM solutions.
Prototype and scale natural language processing (NLP) systems using stateoftheart tools (e.g. LangChain/LangGraph Ollama etc.).
Contribute to internal frameworks for data pipelines inference services and model governance.
Own pathfinding work to understand and execute on deployment options for LLMbased applications at customer sites.
Conduct data wrangling feature engineering and model evaluation on structured and unstructured datasets.
Qualifications :
Requirements
3 years experience in Semiconductor Manufacturing
Strong proficiency in Python and data science libraries (e.g. pandas NumPy scikitlearn).
Handson experience with LLMs and NLP toolkits (e.g. LangChain LangGraph etc.).
Familiarity with modern LLM architectures (e.g. GPT LLaMA Claude) and prompt engineering strategies.
Experience with cloud platforms (e.g. AWS or Azure) and ML ops tools (e.g. MLflow Docker FastAPI).
Proven ability to translate ambiguous problems into clear analytical solutions.
Bachelors degree in Computer Science Engineering Statistics or a related field. Masters or PhD preferred.
Preferred Qualifications
Experience with RetrievalAugmented Generation (RAG) vector databases (e.g. ChromaDB Pinecone) and embeddings.
Experience with Oracle SQL & PL/SQL
Exposure to or experience in web application development and familiarity with frameworks like .NET
Applied Industrial Engineering / Factory Operations experience
Prior work integrating LLMs with web apps or internal enterprise tools.
Experience with finetuning or distillation of transformer models.
Experience developing MCP servers
Contributions to opensource projects or publications in NLP/ML.
Additional Information :
The expected salary range for this position is between $90000 and $140000 per year. In addition INFICON employees are eligible for a profit sharing bonus with a target of 10%. The actual compensation will be determined based on experience location and other factors permitted by law.
INFICON provides a dynamic work environment that promotes diversity equity and inclusion. Our employees experience ongoing green initiatives flexible work hours and a variety of health and wellness programs.
INFICONs forwardthinking approach offers countless opportunities to design support and manufacture a diverse product portfolio that expands globally. Our Lean and Agile work environment offers competitive compensation relocation assistance a discretionary bonus and generous employee benefits; major medical dental health vision 401K vacation and sick time tuition reimbursement and more!
INFICON is committed to ensuring that our online application process provides an equal opportunity to all job seekers that apply without regard to race religion ethnicity national origin citizenship gender age protected veteran status disability status genetic information sexual orientation or any other protected characteristic. A notice describing Federal equal employment opportunity laws is available here to reaffirm this commitment. Any contact that would like to request a reasonable accommodation to participate in the application process should contact .
INFICON Inc. strictly complies with all aspects of the Export Administration Regulations (EAR) including those sections dealing with deemed exports to foreign nationals.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
