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Gen AI Specialist
Siemens Energy
Develop and manage Azure OpenAI generative AI solutions for business needs
8d ago
Intermediate (4-7 years), Experienced (8-12 years), Expert & Leadership (13+ years)
Full Time
Gurugram, Haryana, India
Office Full-Time
Company Size
91,000 Employees
Service Specialisms
Engineering
Project Management
Consulting
Turnkey
Technical Services
Design
Construction services
Manufacturing
Sector Specialisms
Utilities
Independent Power Producers
Transmission System Operators
Oil and Gas Industry
Energy-Intensive Industries
Power Generation
Heat Generation
Thermal Power Plants
Role
What you would be doing
azure openai
generative ai
ai monitoring
data compliance
ai training
tech specs
- Develop and manage applications using Azure OpenAI services. Work on generative AI model encompassing text, image, video.
- Keep current with Azure AI services updates as well as industry trends to continuously improve AI offerings.
- Conduct workshops and training sessions on Azure AI technologies to promote use of AI on the organization.
- Ensure compliance with data privacy and security policies when handling sensitive information.
- Monitor and maintain AI solutions within the Azure environment to ensure optimal performance and reliability.
- Partner closely with team members to identify business needs and translate them into technical specifications for AI-based applications.
What you bring
azure ai
python
docker
kubernetes
react
5-8 years
- Expertise in a variety of Azure Cognitive Services, including but not limited to Text Analytics, Translator Text, and Form Recognizer.
- Proficiency in integrating with various cloud platforms and applications, such as Snowflake, Oracle Cloud Infrastructure (OCI), and Amazon Web Services (AWS).
- Good Knowledge on containerization using Docker/Kubernetes and Version Control using GitHub / GitLab.
- Have in-depth knowledge of AI technologies with respect to OpenAI's ChatGPT large language models.
- Basic understanding of Azure Networking concepts such as Virtual Network, Subnet, Firewall, Load Balancers, Express Route etc.
- Have strong knowledge on Python including but not limited to NLP algorithms such as Tokenization, Sentiment Analysis, Text Classification, Word Embeddings etc. Knowledge of file processing frameworks like Panda and file data modeling.
- Experience in Designing & implementing generative AI solutions on the Azure cloud platform for at least one year.
- Proficiency in developing front-end user interfaces by working with technologies such as React and experience with Azure Machine Learning are valuable assets.
- Possess 5-8 years of relevant experience in the Azure cloud platform and Python.
- Hands-on experience on RAG (Retrieval-Augmented Generation) model for NLP tasks like creation of chatbots using Azure AI services like Azure AI Search, Azure Storage etc.
- Demonstrate superb communication and interpersonal skills.
- Opportunities to work with a global team
- Opportunities to work on and lead a variety of innovative projects
- Medical benefits
- Continual learning through the Learn@Siemens-Energy platform
- Time off/Paid holidays and parental leave
- Employees are eligible for Remote Working arrangements up to 2 days per week.
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Interview process
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Company
Overview
- Offers cutting-edge solutions across the energy value chain.
- Evolved into a global leader in energy innovation from pioneering technologies.
- Plays a crucial role in accelerating the world's transition to a low-carbon future, focusing on sustainable energy production.
- Broad portfolio includes gas turbines, power plants, renewable energy systems like wind and solar, supporting the shift to cleaner power.
- Known for highly specialized solutions, from energy storage to grid optimization, helping utilities and industries thrive sustainably.
- Major projects include large-scale renewable energy plants, carbon capture initiatives, and smart grid solutions that help stabilize the power supply.
- Behind some of the world's most innovative and efficient energy technologies, driving change on both small and large scales.
- Distinct for its ability to combine legacy power systems with the latest advancements in renewable energy, shaping the future of power.
- We embrace sustainability and environmental responsibility.
- We deliver excellence and innovation in everything we do.
- We act with integrity, fairness, and transparency.
- We respect the diversity of people, cultures, and perspectives.
- We are agile and adaptive, finding new ways to innovate and improve.
- We collaborate with customers, colleagues, and partners to achieve shared goals.
Net Zero by 2050
CO2 Emissions Target
Aiming to achieve net zero CO2 emissions by 2050.
45% Emissions Cut
Reduction by 2025
Targeting a 45% reduction in CO2 emissions by 2025, compared to 2019 levels.
- Aims to lead the energy transition by providing cleaner and more efficient energy solutions.
- Focuses on reducing operational impact by investing in sustainable technologies.
- Portfolio includes products and services to help customers reduce emissions and improve energy efficiency.
30% women
Leadership Goal
Target to increase women in leadership positions.
- Aims to achieve a 50/50 gender balance in their global workforce by 2030.
- Focused on building an inclusive and diverse workforce, prioritizing equal opportunities for all employees.
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