Experience: Minimum 2 Years of Professional Experience in Any Domain

About the Opportunity

Are you an experienced professional looking to transition your career into Artificial Intelligence or Data Engineering? We are looking for motivated and career-oriented professionals from any domain who are interested in building a long-term career in the technology industry.

This chance is designed for professionals who want to change their career domain and develop expertise in either Artificial Intelligence or Data Engineering.

1. AI Engineer – Career TransitionRole Overview

We are hiring professionals who are passionate about transitioning into Artificial Intelligence, Generative AI, Machine Learning, and Prompt Engineering.

The role involves structured training followed by hands-on exposure to AI/ML and GenAI projects. The position is suitable for candidates who are willing to learn new technologies and build long-term expertise in AI Engineering.

Key Responsibilities

- Learn and work on AI/ML and Generative AI technologies.
- Develop Python-based AI applications and automation solutions.
- Work on Prompt Engineering and LLM-based use cases.
- Support the development and testing of AI models and workflows.
- Work on real-world AI and GenAI projects.
- Collaborate with technical teams on project requirements and implementation.
- Continuously upgrade technical skills through training and hands-on learning.

Required Skills / Knowledge Candidates with knowledge, training, certifications, or project exposure in the following areas will be preferred:

- Python Programming
- Generative AI (GenAI)
- Artificial Intelligence / Machine Learning
- Prompt Engineering
- Basic understanding of APIs
- Data handling and automation




- Analytical and problem-solving skills

2. Data Engineer – Career TransitionRole Overview We are looking for professionals with 2+ years of experience who are interested in transitioning their careers into Data Engineering.

The role provides an opportunity to learn up-to-date Data Engineering technologies and work on scalable data solutions, cloud platforms, data pipelines, ETL/ELT workflows, and enterprise data projects.

Key Responsibilities

- Learn and work with modern Data Engineering technologies and practices.
- Develop and maintain scalable data pipelines.
- Build ETL/ELT workflows for structured and unstructured data.
- Integrate data from multiple sources into cloud-based data platforms.
- Work on data quality, integrity, and reliability.
- Collaborate with Data Scientists, Data Analysts, Software Engineers, and other technical teams.
- Optimize data processing workflows for performance and scalability.
- Participate in testing, deployment, code reviews, and production support.
- Continuously learn and adapt to new data technologies.

Required Skills / Knowledge Candidates with knowledge, training, certifications, or project exposure in the following areas will be preferred:

- Python, Java, or Scala
- SQL and relational databases
- ETL concepts
- Data Warehousing
- AWS / Microsoft Azure / Google Cloud Platform (GCP)
- Data Engineering concepts
- Cloud technologies
- Basic understanding of Big Data technologies
- Analytical and problem-solving skills

Training & Service Agreement

- Structured training / On-the-Job Training will be provided.
- Hands-on exposure to real-world technology projects.
- Mentorship and continuous learning support.
- Mandatory 30 months service agreement / bond.

Work Location: In person

📌 AI and Data Engineer (Pune)
🏢 Shyena Tech Yarns
📍 Pune