Highlights
Hands-on ML models, agentic workflows, AI-driven solutions, modern LLM tooling, data visualization
Description
Job Summary
pWe are seeking a curious and motivated entry-level analyst/engineer to join our dynamic Data & AI team. The ideal candidate will work on real-world data pipelines, build and evaluate ML models, and deploy intelligent agentic workflows powered by modern LLM tooling. This hands-on, fast-paced role is perfect for fresh graduates or early-career professionals passionate about AI.
Responsibilities
- Collect, clean, and transform structured/unstructured data for analysis and model training.
- Build and fine-tune ML models (classification, regression, clustering, NLP) using Python.
- Integrate agents with external tools using MCP or function calling.
- Create PowerBi dashboards, visualisations, and reports to communicate insights to stakeholders.
- Evaluate and benchmark LLM outputs; implement prompt engineering and RAG pipelines.
- Assist in deploying models and agentic applications to Azure cloud or on-premise environments.
- Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions.
Required Skills
- Data cleaning
- Python programming
- Machine learning
- LLM tooling
- Data visualization
Required Skills Explained
- Data cleaning and transformation techniques
- Proficiency in Python for data manipulation and model building
- Experience with ML models including classification, regression, clustering, and NLP
- Familiarity with LLM APIs such as Claude, GPT-4o, Gemini
- Knowledge of Azure cloud services or on-premise environments for deployment
- Skills in creating PowerBi dashboards and reports
- Prompt engineering and RAG pipelines implementation
Who is this for
pThis role is ideal for fresh graduates or early-career professionals with a passion for AI and experience in data analysis, machine learning, and working on real-world projects. A solid educational background in Multi-disciplinary Engineering domain with Data Science, Artificial Intelligence, Statistics, or related fields will be an advantage.
Why This Job is a Good Opportunity
ulliTo work with cutting-edge AI tools and technologiesliA fast-paced, hands-on role that offers immediate application of skillsliOpportunity to collaborate on real-world projects in data analysis and model developmentliPotential for growth within a dynamic team environmentliThe chance to work with diverse teams across various disciplinesliTo gain experience in deploying AI applications at scale
Interview Preparation Tips
- Prepare examples of data projects you have worked on, highlighting your skills and problem-solving abilities
- Practice explaining complex technical concepts in simple terms
- Be ready to discuss your familiarity with LLM APIs and their applications
- Showcase your ability to work in a team setting by providing examples from past experiences
- Bring samples of your GitHub portfolio or relevant certifications if you have them
Career Growth in This Role
pGrowth opportunities include advancing your skills in AI and data science, taking on more complex projects, and potentially moving into leadership roles within the team. With experience, you could also explore specializations such as deep learning, natural language processing, or cloud engineering.pThe role provides a solid foundation for further education and certifications that can enhance your career trajectory. Collaborating with cross-functional teams will offer insights into various business areas, broadening your professional perspective.
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Skills
Frequently Asked Questions
What experience is required for this role?Ideal candidates are fresh graduates or early-career professionals with a passion for AI and some experience in data analysis, machine learning, and working on real-world projects.
Is there any specific certification that you prefer?Relevant certifications like Azure Data Analytics, ML Specialty, DeepLearning.AI are preferred but not mandatory. A strong GitHub portfolio demonstrating hands-on projects is more important.
Can I still apply if I don't have all the required skills yet?Absolutely! We encourage applications from enthusiastic learners and recent graduates who are willing to grow and learn on the job.
