Logistics Data Scientist at Applied Materials

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI/ML Engineering, Python, R, SQL, Big Data, LangChain, LangGraph, Cloud Environments, Docker, Kubernetes, TensorFlow, PyTorch, Prompt Engineering, RAG, API Integrations

Industry

Semiconductor Manufacturing

Description

## Works in cross-functional project teams as a subject matter expert to design and develop advanced AI-driven solutions leveraging structured and unstructured “big data” sources. ## Partners with BI and analytics teams to align AI initiatives with business goals and ensure seamless integration into dashboards and reporting workflows. ## Develops and implements AI/ML models, including generative AI, LLM-based applications, and retrieval-augmented generation (RAG) pipelines. ## Builds and optimizes LangChain, LangGraph, and similar frameworks for orchestration of large language models and intelligent agents. ## Performs ad-hoc statistical and data-mining analysis using tools such as Python, R, SAS, MATLAB, and SQL; designs scalable data acquisition systems and architectures. ## Creates automated workflows for data ingestion, cleansing, integration, and evaluation of large datasets. ## Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis. ## Generates internal and external documentation, dashboards, presentations, and technical reports for stakeholders. ## Explores emerging technologies and frameworks to drive innovation in AI engineering and advanced analytics. ## Serves as a resource and provides guidance to team members on AI engineering best practices, data science methodologies, and cutting-edge tools. Acts as a resource for colleagues with less experience; may lead small AI-focused projects with manageable risks and resource requirements. Problem Solving Solves complex problems using innovative approaches; takes a new perspective on existing solutions; exercises judgment based on analysis of multiple sources of information. Impact ## Education: Bachelor's Degree (Master's preferred in Data Science, AI/ML, Computer Science, or related field) ## Experience: 4-7 years in data science, AI/ML engineering, and advanced analytics. ## Proficiency in Python, R, SQL, and experience with big data platforms (e.g., Spark, Databricks). ## Hands-on experience with LangChain, LangGraph, and orchestration of LLM-based applications. ## Familiarity with cloud environments (AWS, Azure, GCP) and containerization (Docker, Kubernetes). ## Strong understanding of AI/ML frameworks (TensorFlow, PyTorch) and prompt engineering. ## Knowledge of retrieval-augmented generation (RAG), vector databases, and API integrations. ## A curious, experimental mindset with passion for exploring emerging technologies.

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Responsibilities

The Logistics Data Scientist works in cross-functional teams to design and develop AI-driven solutions using big data sources. They also partner with BI and analytics teams to align AI initiatives with business goals and create automated workflows for data management.