Generative AI Specialist
Siemens Energy
Develop and deploy generative AI solutions for the energy sector.
23 days ago ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 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
ai implementation
generative ai
data science
partner collaboration
documentation
- Leading the implementation of AI/ML initiatives company-wide by facilitating trainings and boosting awareness.
- Researching cutting edge methodologies and developing advanced Artificial Intelligence solutions with focus on Generative AI techniques for application along the value chain
- Working in cross-organizational, multi-disciplinary teams supporting the application and implementation of innovative data science and AI/ML concepts at scale
- Collaborating in a partner ecosystem across industry and academia to drive research and leverage know-how in this field
- Documenting developed methods, tools and processes as well as presenting results to customers across the organization on a regular basis.
What you bring
generative ai
5+ years
data science
python
cloud computing
customer focus
- Deep understanding of Gen AI solutions and their application at scale, including RAG (Retrieval-Augmented Generation), Agents, and Lang graph or similar frameworks
- 5+ years of work experience in Deep understanding of Gen AI solutions and their application at scale, including RAG (Retrieval-Augmented Generation), Agents, and Lang graph or similar frameworks
- Proven analytical skills and profound expertise in data science with a focus on Generative AI, Natural Language Processing, and other artificial intelligence methods
- University degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering or related field, along with strong proficiency in programming languages such as Python and experience in solution deployment and cloud computing
- Strong customer focus, good interpersonal skills, open-mindedness, and willingness to learn
- Ability to effectively collaborate in multidisciplinary, multinational and global teams, with fluency in spoken and written English, superb communication, and presentation skills
- Being up to date on the latest developments in data science, AI/ML principles and theories to help the business make truly data-driven decisions
- Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy. – As a part of CTC, tax saving measure
- All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age.
- Flexi Pay empowers employees with the choice to customize the amount in some of the salary components within a defined range thereby optimizing the tax benefits. Accordingly, each employee is empowered to decide on the best Possible net income out of the same fixed individual base pay on a monthly basis.
- Employees are eligible for Remote Working arrangements up to 1-2 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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