Engineer Data Science - Infineon Technologies

OpenTalent; Karnataka; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Infineon in India seeks a skilled AI specialist to design and implement next-generation business solutions leveraging Generative AI, LLMs, and cloud technologies.

You will collaborate with diverse technical and business stakeholders to deliver innovative AI-powered applications that enhance customer experience, improve operational efficiency, and drive sustainable growth across the organization.

Qualifications

• Knowledge of Generative AI technologies, Large Language Models, and application development using existing foundation models (e.g., GPT, Claude, LLaMA)
• Understanding of vector databases, embedding models, and semantic search technologies
• Familiarity with digital solutions, advanced analytics, AI/ML (e.g., time-series forecasting)
• Proficiency in Python and other programming languages (e.g., Java, Scala, Rust)
• Knowledge of front-end technologies (HTML, CSS, JavaScript) and frameworks like React and Angular
• Understanding of back-end development using Python, Node.js, Java
• Familiarity with relational and distributed data storage and SQL
• Familiarity with data processing frameworks/tools like Apache Spark, Hadoop
• Knowledge of cloud platforms and enterprise AI services (Azure OpenAI, AWS Bedrock)
• Familiarity with containerization/orchestration (Docker, Kubernetes)
• Understanding of DevOps/ML Ops including Git, CI/CD, Jenkins
• Familiarity with enterprise cloud infrastructure and data integration tools
• Understanding of RESTful API design
• Knowledge of ETL pipelines, integration, modeling (Hadoop, Spark, Impala, Hive, Kafka)
• Excellent interpersonal and communication skills

Responsibilities

• Design and implement future-state business processes enhanced by AI-powered solutions
• Collaborate with technical and business stakeholders to develop innovative AI solutions
• Leverage enterprise data infrastructure to deliver customer-centric applications and drive efficiency

Skills

Generative AI

Large Language Models

Python

Java

JavaScript

React

Angular

SQL

ETL/Data pipelines

Cloud platforms

Docker

Kubernetes

Git

CI/CD

Jenkins

Apache Spark

Hadoop

Tools

Docker

Kubernetes

Git

CI/CD

Jenkins

Apache Spark

Hadoop

SQL

Job description

Are you passionate about Generative AI, Large Language Models, Advanced Analytics, and Digital Transformation ?

We're looking for talented professionals to design and implement next-generation business solutions that leverage AI, data, and cloud technologies to transform the way Infineon operates. This is an opportunity to work with cutting-edge technologies including GPT, Claude, LLaMA, Azure OpenAI, AWS Bedrock, Machine Learning, Data Engineering, and Modern Application Development .

Join us to build innovative solutions that enhance customer experience, improve operational efficiency, and drive sustainable business growth.

Your role Key responsibilities in your new role

• They will be responsible for designing and implementing future state business processes enhanced by digital, AI-powered solutions that revolutionize the way how Infineon works.
• They will work on the development of innovative solutions in close collaboration with our various technical and business stakeholders.
• They will leverage state-of-the-art technologies and corporate data infrastructure to deliver on applications that enhance customer experience, improve operational efficiency, and drive sustainable profitable growth.

Your profile Qualifications and skills to help you succeed

• Knowledge of Generative AI technologies, Large Language Models, and application development using existing foundation models (e.g., GPT, Claude, LLaMA)

• Understanding of vector databases, embedding models, and semantic search technologies
• Familiarity with digital solutions, advanced analytics, AI/ML (i.e., global time-series forecasting, GenAI)

• Proficiency in Python and other programming languages (e.g., Java, Scala, Rust)
• Knowledge of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React and Angular
• Understanding of back-end development using languages such as Python, Node.js, Java
• Familiarity with relational and distributed data storage (e.g., Oracle, MySQL, HDFS) and suitable query language(s) (e.g., SQL)
• Familiarity with data processing frameworks and tools such as Apache Spark, Hadoop

• Knowledge of cloud platforms and enterprise AI services (e.g., Azure OpenAI, AWS Bedrock)
• Familiarity with containerization and orchestration tools like Docker and Kubernetes
• Understanding of DevOps/ML Ops including relevant methods and tools (e.g., Git, CI/CD, Jenkins)
• Familiarity with enterprise cloud infrastructure and data integration tools (e.g., Azure, AWS, data pipelines, API management)

• Understanding of RESTful API design and implementation
• Knowledge of ETL pipelines, integration, and modeling (e.g., Hadoop, Spark, Impala, Hive, Kafka)
• Excellent interpersonal and communication skills to build strong relationships with stakeholders at all levels