Role overview
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
*AI/ML & Kafka
Location: Open (Remote/Hybrid/Onsite based on project)
Employment Type: Full-time
About the Role**
We are looking for enthusiastic fresh graduates who have a strong interest in Artificial Intelligence, Machine Learning, and Distributed Systems. If you have academic projects, internships, or hands‑on practice with AI/ML models, Python, Kafka, or data pipelines, this is a great opportunity to start your career with real-world enterprise projects.
What you'll work on
- Assist in building and training AI/ML models
- Support data engineering workflows and real-time data streaming using Kafka
- Work with senior engineers to develop scalable solutions
- Participate in testing, debugging, and optimizing ML pipelines
- Document processes, experiments, and model performance
What we're looking for
- Strong understanding of AI/ML fundamentals (supervised/unsupervised learning, model evaluation, etc.)
- Good programming skills in Python
- Basic knowledge of Kafka or any messaging/streaming platform
- Familiarity with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch
- Good problem-solving and analytical thinking
- Eagerness to learn and adapt quickly