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Graduate Trainee - Data Science

Technip Energies

Updated on: 17 December 2024

Additional Details

Website

www.ten.com

website

Work Location

Noida, India

location

Job Type

FTE

job_type

Batch

2025 | 2024

batch

Stream Required

Bachelors degree in Computer Science

stream

Salary

4 - 6 LPA(Expected)

salary

Job Description

About Technip Energies

At Technip Energies, we believe in a better tomorrow and we believe we can make tomorrow better. With approximately 15,000 talented women and men, we are a global and leading engineering and technology company, with a clear vision to accelerate the energy transition. Designing and delivering added value energy solutions is what we do.  

Global Business Services India

At Technip Energies, we are continually looking for ways to become more efficient, and ways to improve our quality, customer focus and cost competitiveness. The Global Business Services (GBS) organization is key to executing this strategy, by standardizing our processes and centralizing our services.  

Our Vision : A customer-focused, cost-efficient, innovative, and high performing organization that drives functional excellence. 

GBS provide streamlined and consistent services to our internal customers in the domain of Finance and Accounting, Human Resources, Business Functional Support, Procurement and Legal. Our services fit our global organization and allow us to focus on business strategy and priorities. GBS also maintains continuous improvement plans to enhance our customer-oriented service culture.  

About the Job

We are currently seeking a Graduate Trainee – Data Science (Computer Vision), to join our Automation & Digital team based in Noida India.
 

Roles and responsibilities include:
• Research, develop and deploy computer vision algorithms and systems for various applications.
• Analyze, evaluate, and optimize existing computer vision systems to improve performance and accuracy.
• Test and validate computer vision code and models, ensuring robustness and reliability.
• Collaborate with cross-functional teams to develop innovative solutions that meet project requirements.
• Propose solutions and strategies to tackle business challenges.
 

About You
• Bachelor's degree in Computer Science, Computer Vision, Machine Learning, or a related field.
• Strong knowledge of computer vision algorithms , libraries, tools and frameworks, such as OpenCV, TensorFlow, PyTorch, Theano, Caffe.
• Familiarity with machine learning and deep learning concepts and frameworks.
• Excellent problem-solving skills and the ability to think analytically.
• Good communication and teamwork skills to collaborate effectively with cross-functional teams.
• Ability to work independently and in a fast-paced environment, managing multiple tasks and priorities.
 

Key skills:
• A reflective and analytical mindset to tackle complex computer vision challenges.
• Detail-oriented approach to ensure accuracy and precision in computer vision systems.
• Self-motivated and goal-oriented, with a drive to achieve high-quality results.
• Adaptable and flexible to handle evolving project requirements and changing priorities.
• Open-minded and willing to take on challenges, embracing continuous learning and growth.
 

Personal competencies and qualities required:
•Professional manner and highly organized
•Team player
•Enthusiastic, positive attitude to support a constructive working environment.
•Focuses activities on customer business priorities.
•Zero defect mindset with attention to details

What’s next?

Once receiving your application, a recruiter performs an initial check between your skills and qualifications with our stated requirements prior to a detailed and focused review carried with the hiring manager. We expect to take up to a few weeks to perform that review. If you hear from us, it is because we want to organize interviews and meet you physically or virtually upon locations. To have an overview of the recruitment process, visit our dedicated webpage here

We invite you to get to know more about our company by visiting www.technipenergies.com and follow us on LinkedIn , Instagram for company updates.

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Click on the Apply Now button to apply for Technip Energies

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