Konecranes Off Campus Drive 2026 | Trainee – RPA / AI
Konecranes, a global leader in material handling solutions, is actively seeking highly motivated individuals for the Trainee – RPA / AI role within their Automation Center of Excellence (CoE) in Pune. This is an excellent opportunity for recent graduates and early-career professionals passionate about Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), and Intelligent Automation to gain hands-on experience and build a strong foundation in these cutting-edge technologies.
📅 Last Updated: August 2026 | ⚡ Premium Tech Hiring | 💻 Automation & AI RolesAre you eager to design and develop automation workflows, work with APIs, and contribute to AI-powered solutions like chatbots and predictive models? Joining a global organization like Konecranes offers a robust platform to apply your technical skills to real-world business challenges. Similar to the Lanmea AI Software Engineering Intern Drive or the Black Box AI Engineer Intern Hiring, Konecranes provides a dynamic environment to kickstart your career in intelligent automation.
🔥 Latest AI & Software Engineering Hiring
- Organization: Konecranes
- Role: Trainee – RPA / AI
- Core Domain: RPA, AI, ML, Intelligent Automation
- Educational Requirement: Bachelor's/Master's in CS / IT / AI / Data Science / E&TC
- Experience: 0–1 year (Freshers with projects/internships can apply)
- Location: Pune, Maharashtra, IN (Hybrid)
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About Konecranes Automation CoE
The Automation Center of Excellence (CoE) at Konecranes is dedicated to driving efficiency and innovation through Intelligent Automation. As a Trainee, you will collaborate with experienced professionals to design, develop, test, and support solutions that leverage RPA, AI, and ML to optimize business processes and enhance enterprise operations.
By joining the Automation CoE, you are at the forefront of digital transformation. You'll work on projects that automate repetitive tasks, extract data intelligently using NLP, and build predictive models that can significantly improve productivity across global teams.
Trainee Eligibility Criteria
| Category | Details |
|---|---|
| Company Name | Konecranes |
| Job Role | Trainee – RPA / AI |
| Target Degrees | Bachelor's/Master's in Computer Science, IT, AI, Data Science, E&TC, or related fields |
| Passout Year | Recent Graduates (2025 / 2026 Batches) |
| Experience | 0–1 year (Freshers with projects/internships) |
| Job Location | Pune, Maharashtra, India (Hybrid) |
🎓 Desired Technical Skills
To thrive in the Trainee – RPA / AI role at Konecranes, you should possess a mix of programming knowledge, understanding of automation concepts, and an aptitude for data-driven problem-solving:
- Programming: Proficiency in Python (preferred) or Java / C# / .NET / JavaScript.
- Automation & Integration: Understanding of RPA concepts and REST/SOAP APIs.
- Data & Web Tech: SQL & database fundamentals, and basic web technologies.
- AI Technologies: Basic understanding of AI / ML / Data Science / NLP / LLM / Generative AI / Data Analytics.
- Preferred Tools: Familiarity with UiPath, Power Automate, Automation Anywhere, Power BI, Tableau, Git, or Azure DevOps is a plus.
👉 Also Read: Accenture AI/ML Computational Science Role
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What Will You Do as a Trainee?
As part of the Automation CoE at Konecranes, your responsibilities will include:
- Automation Development: Learning and developing solutions using tools like UiPath or Power Automate.
- Process Analysis: Analyzing business processes to identify viable automation opportunities.
- AI/ML Support: Assisting in data preparation, analysis, and development of machine learning models and AI-powered tools (e.g., chatbots).
- Integration & Maintenance: Working with APIs for system integration and assisting in the deployment, testing, and troubleshooting of automation workflows.
📝 Resume Strategy for RPA/AI Roles
Your resume needs to highlight your programming skills and any exposure you have to automation or data science projects.
✅ Example: "Developed a basic document processing automation using Python and UiPath as part of a final year academic project, reducing manual data entry time by an estimated 20%."
- Python / Java
- RPA / UiPath / Power Automate
- Artificial Intelligence / Machine Learning
- SQL / Database Fundamentals
- REST/SOAP APIs
- Data Analytics
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Disclaimer
This post is for educational and informational purposes only to help candidates prepare for corporate interviews. We are an independent job notification portal and are not affiliated directly with Konecranes. Always verify job details, locations, and requirements on the official Konecranes careers portal before applying.
🔥 High Demand Tech Roles
Official Application Link
- The application is hosted via the official Konecranes / SmartRecruiters portal.
- Ensure your resume strongly highlights your programming skills, Python projects, and understanding of RPA/AI concepts.
- Click the link below to access the specific job requisition.
- Fill in your details carefully and submit your application before August 28, 2026.
| Opportunity Type | Direct Application Link | Department |
|---|---|---|
| Apply – Konecranes Trainee | Click Here to Apply | IT / Automation |
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Frequently Asked Questions (High Search Volume)
What is the qualification required for the Konecranes Trainee – RPA / AI role?
Candidates must have a Bachelor's/Master's degree in Computer Science, IT, AI, Data Science, E&TC, or related fields.
Are freshers eligible to apply for this Konecranes Trainee position?
Yes, candidates with 0–1 year of experience are eligible. Freshers with relevant academic projects, hackathon participation, or internships in RPA/AI/ML are encouraged to apply.
Where is the job location for the Konecranes Trainee – RPA / AI?
The role is based in Konecranes' office at SP Infocity, Pune, India, with hybrid working options available.
What programming languages are preferred for this role?
Proficiency in Python is preferred, though knowledge of Java, C#, .NET, or JavaScript is also acceptable.
Final Tip: For automation and AI trainee roles, showing a strong willingness to learn and demonstrating an analytical mindset are just as important as technical skills. Highlight any projects where you successfully applied logical problem-solving or automated a task. Good luck!
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