Trainee- Technology
Bangalore, IN
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GKN Aerospace
GKN Aerospace is a global engineering group that make essential components for industries that touch lives across the globeFantastic challenges. Amazing opportunities.
GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, we’re inspired by the opportunities to innovate and break boundaries. We’re proud to play a part in protecting the world’s democracies. And we’re committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the world’s aircraft and engine manufacturers and achieved sales of £3.35 bn.in 2023. There are no limits to where you can take your career.
Job Summary
GKN Aerospace India Graduate Programme is a 15 month program targeted on recruiting and developing Engineering graduates through phased learning and helping individuals to set their own goals and explore own interests within our business while being fully supported.
The phase wise learning shall give you an opportunity to understand and develop both your technical and personal Skills. While on this program, you work on real time projects, solving real world problems and delivering a real change. Program provides a development opportunity and mentoring to match your capabilities and aspirations to GKN strategic and operational needs – ensuring a thriving business for GKN and a fulfilling career for you at our offices.
Job Responsibilities
As a young graduate at GKN, we encourage you to develop a keen interest in digital technologies and drive digital transformation, including Software development, testing, deployment, Data Analytics, Data science, AI, ML, Machine Vision, LLM etc. within the organization. You will be responsible for conceptualizing, developing, and implementing digital solutions for aerospace processes, with a focus on manufacturing engineering, technology and product development, purchasing, logistics, and quality functions etc. Your goal will be to eventually take on a leadership or technical role in the future.
You are accountable for your own personal and professional growth under the guidance of our senior teams. You will be building relationships within and outside GKN Aerospace and maintaining performance within your team and the wider company. There will also be self-development through trainings and other opportunities and the organisation will support you through mentoring alongside their placements.
Specific accountabilities will vary between job families, however you will be responsible for supporting functional and operational teams and their projects, such as implementation of Strategic Initiatives, Industry 4.0, Lean Operating Model etc.
As you develop the confidence and competence on the programme you can begin to take ownership for portions of larger projects under supervision from their line manager and/or placement manager.
The precise nature of each your role will be defined by the skills and competencies developed, interests and the needs of the business.
Job Qualifications
Essential:
Bachelors / BE / Btech in Computer Science, Information Technology , Data Analytics, AI and Machine learning from reputed university.
Excellent Software engineering fundamentals
Passion to drive their own career and willingness to learn.
Keen interest in the Aerospace industry
Enthusiasm for continuous personal development
Exhibits leadership potential and ownership
Good communication skills in English both oral and written
Develop and sustain a healthy work relationship based on mutual trust with peers, internal and external stakeholders
Self-driven individual who can expand his/her skills with on-job training
Flexible and adaptable to new tasks
Knowledge of any programing languages
Right to work in country that you have applied for
Desirable:
Good knowledge of languages like Python, HTML, JS, CSS etc.
Good knowledge about Databases & SQL.
Good knowledge in the area of data science & industrial automations
Experience in creating ETL pipelines, BI dashboards, AI, ML, LLM, Machine Vision, Full stack software development (Python) etc. through internships, projects, competitions, self-interest etc.
Has undergone relevant courses or acquired knowledge and interest in areas related to software development, testing, deployment, Data Analytics, Data science, AI, ML, LLM, Machine Vision, Databases , SQL etc.
ITAR/SSA clearance (where relevant)
Previous involvement with STEM, early careers events
Self-driven individual who can expand his/her skills with on-job training to grow in digital areas.
We’ll offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further. And with some of the best training on offer in the industry, who knows how far you can go?
A Great Place to work needs a Great Way of Working
Everyone is welcome to apply to GKN. We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles we’ve created a culture where everyone feels welcome to contribute. It’s a culture that won us ‘The Best Workplace Culture Award’. By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work.
We’re also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know.
We are the place where human dreams, plus human endeavour, shape the future of aerospace innovation and technology.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Engineering ETL Industrial LLMs Machine Learning Pipelines Python SQL STEM Testing
Perks/benefits: Career development Flex hours Startup environment Team events
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