Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative. Create and enhance projects in Java, Python, Angular, PHP,.NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
Requirements
- Degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.
- Strong expertise in Python and experience with PySpark/Spark MLlib.
- Experience with Generative AI, LangChain, RAG (Retrieval Augmented Generation), LLM production deployments, and Agentic AI architectures.
- Experience with OCR and document intelligence workflows.
- Solid understanding of NLP, text analytics, and unstructured data processing.
- Deep knowledge of ML architectures and MLOps-oriented lifecycles (CI/CD for ML, model versioning, monitoring, retraining pipelines).
- Hands-on experience with NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch.
- 5+ years of professional experience in Data Science, including leading or mentoring technical teams.
- Experience with Java, Scala, or Spark in production environments.
- Proven track record of leading data science projects end-to-end with MLOps best practices.
- Computer Vision experience, in image pre-processing and analysis.