We are seeking Data Scientists and Machine Learning Engineers to join a team dedicated to pioneering advanced analytics and cutting-edge Generative AI (GenAI) solutions. You'll have the opportunity to design and implement transformative solutions addressing complex business challenges.
If you are a skilled professional with a passion for machine learning, Data Science, cloud-based systems, and collaborative problem-solving, this is the opportunity for you to make a significant impact.
Key Responsibilities
Innovation and Analytics:
- Develop and deploy machine learning and generative AI models to deliver data-driven insights and optimize processes.
- Utilize frameworks such as TensorFlow, PyTorch, XGBoost, and Scikit-learn; fine-tune NLP models (e.g., BERT, GPT).
- Build and operationalize solutions for Document Intelligence using platforms like Azure Document Intelligence.
Required Qualifications
- Educational Background: Bachelor's or Master's degree in Data Science, Mathematics, Computer Science, or a related field.
- Experience: 1 - 4 years in data technology development, including deploying ETL pipelines and machine learning models.
- Proven expertise with Python, Scala, Java, or similar programming languages.
- Proficiency with cloud platforms (AWS, Azure) and mixed Windows/Linux environments.
Skills:
- Strong understanding of distributed systems, container services, and data architecture.
- Familiarity with dashboard and visualization tools is a plus.
- Commitment to accountability, transparency, diversity, and ethical decision-making.
What We Offer
- A collaborative and inclusive work environment fostering innovation and excellence.
- Opportunities to work on cutting-edge GenAI applications and projects with real-world impact.
- Professional development through exposure to the latest AI/ML tools and techniques.
If you are passionate about driving innovation in data science and engineering, we encourage you to apply and join a team shaping the future of AI-driven solutions.