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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data analysismachine learningdeep learningnatural language processingpredictive analyticsprogramming in Pythonprogramming in Rprogramming in Javadata visualizationbig data technologies
Soft Skills
collaborationcommunicationstrategic thinkingproblem-solvinginnovation
Tools & Technologies
Business Intelligence toolsTensorFlowKerasPyTorchScikit-learnPower BITableauLookerAWSGoogle Cloud
Certifications & Qualifications
Bachelor's degree in Computer ScienceBachelor's degree in Software EngineeringBachelor's degree in StatisticsBachelor's degree in MathematicsPostgraduate degree in Artificial IntelligencePostgraduate degree in Machine LearningPostgraduate degree in Data Science
Industry Keywords
digital transformationBackOfficeproduct developmentAI-based solutionsdata-driven insights
Tech Stack
Tools & technologiesAWSAzureCloudHadoopJavaKerasNoSQLPythonPyTorchScikit-LearnSparkSQLTableauTensorflow
About the role
Key responsibilities & impact- Analyze and interpret complex data, identifying opportunities to optimize processes and drive innovation in BackOffice and Product Development.
- Develop and implement interactive dashboards and intelligent reports using Business Intelligence (BI) tools.
- Collaborate with multidisciplinary teams to understand business challenges and propose AI-based solutions.
- Support the development of Machine Learning and Deep Learning models, applying advanced techniques such as natural language processing (NLP), using LLMs, AI agents, and predictive analytics.
- Participate in digital transformation projects, providing data-driven insights for continuous innovation.
- Communicate results and recommendations clearly and strategically to stakeholders.
Requirements
What you’ll need- Education: Bachelor's degree in Computer Science, Software Engineering, Statistics, Mathematics, or related fields.
- Postgraduate degree or specialization in Artificial Intelligence, Machine Learning, or Data Science (preferred).
- Professional Experience: Prior experience in Artificial Intelligence, Data Analysis, or Systems Development.
- Experience in digital transformation projects, especially in BackOffice and product development.
- Programming in Python, R, and/or Java.
- Experience with Machine Learning libraries and frameworks (TensorFlow, Keras, PyTorch, Scikit-learn).
- Knowledge of natural language processing (NLP), LLMs, predictive analytics, and data science.
- Experience with data visualization tools such as Power BI, Tableau, or Looker.
- Experience with Cloud Computing (AWS, Google Cloud, Azure) and cloud AI solutions such as AWS Bedrock, Azure AI Studio, or Vertex, etc.
- SQL and NoSQL databases, and knowledge of Big Data technologies (Hadoop, Spark).
Benefits
Comp & perks- 🌱 Holistic Well-being: Your well-being is essential. We take care of you and your loved ones with comprehensive health plans, because a healthy team is a team that transforms.
- 🚀 Development and Growth: Your career doesn't stop. At Topaz, #Growth is constant. Through training programs and daily challenges, we provide the tools so your potential has no limits.
- ⚖️ Flexibility and Balance: We believe in balance. Enjoy the flexibility you need to perform at your best with our hybrid work model and a day off on your birthday to celebrate as you deserve.
