Job Summary

Duration: 6 Months

Data Modeling AI Engineer

Responsibilities

- Focus: IT/Cloud Layer: Design and implement scalable data products and contemporary 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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