Intern - Industrialisation

Job Summary

Duration: 6 Months

Data Modeling AI Engineer

Responsibilities

• Focus: IT/Cloud Layer: Design and implement scalable data products and modern cloud-based data architecture, ensuring robust data governance and quality.

• Creating, automating, and maintaining complex data models across enterprise and cloud platforms to support Digital Transformation.

• Developing, training, and deploying AI/ML/LLM models to extract insights and drive process optimization.

• Full-stack development to build and maintain data visualization and user-facing applications.

• Leverage and integrate with the Skywise platform for data ingestion, analytics, and service development.

• Managing and organizing data systems for multi-disciplinary teams from start to finish.

  Required skills and experience

• Data Management Engineering: Experience in structuring, managing, and maintaining complex data systems for multi-disciplinary teams.

• Programming: Proficient in Python (high priority for data science/AI) and associated data/AI libraries. Knowledge of other languages like C++ is an asset. Strong OOPs understanding.

• Data Management: Expertise in cloud data platforms ( GCP / AWS / Azure ), big data technologies, and building data lakes/warehouses. Strong database development experience ( SQL / NoSQL ).

• Software Architecture: Deployment experience ( Docker , CI/CD Pipelines , Maintenance). Experience with MLOps principles.

• Version Control Collaboration: Experienced with Git/GitLab , working in Agile environments.

• Requirements Management: Skilled in gathering and managing complex stakeholder requirements for data products and AI solutions.

• Agile Experience: Comfortable working in Agile teams, iterating on data and system models.

• Connectivity Concepts: Highly proficient in API integration , microservices architecture, HTTP methods, and full-stack client-server communication for data product delivery.

• Communication Skills: Clear communicator, able to convey complex technical concepts to diverse audiences.

• Adaptability: Quick learner, able to apply new skills in dynamic environments.

  Soft Skills

• Ability to work independently and in a team in a transnational environment.

• Assertive communication and interpersonal skills.

• Willingness to learn new skills, self-development.

• Ability to work in multiple projects and drive innovation initiatives.

• Strong problem solving and logical thinking ability.

  Education

B.Tech. / B.E. / M.Tech. / M.E. in Mechanical / Industrial / Aerospace / Electrical

Job Details

• Employment Type: Internship
• Experience Level: Entry Level
• Job Family: Manufacturing Engineering

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