Python Developer (Data Science and AI)

About the Role

Key Responsibilities

• Develop, optimize, and maintain AI/ML models and NLP pipelines using Python, PyTorch, TensorFlow, and cloud platforms.
• Collaborate with data scientists, NLP specialists, and business teams to implement end-to-end production-grade Natural Language Generation (NLG) solutions.
• Handle large-scale text data processing, including tokenization, stemming, lemmatization, regex-based searches, and other text preprocessing techniques.
• Design and manage data storage solutions utilizing both relational and NoSQL databases, ensuring data integrity and performance.
• Build scalable backend services and APIs to support AI/ML applications and workflows.
• Implement efficient data pipelines for training, validation, and deployment of machine learning models.
• Stay updated with the latest developments in AI, ML, NLP, and cloud technologies, applying best practices to projects.
• Write clean, modular, and well-documented code following industry standards and CI/CD practices.
• Troubleshoot, optimize, and improve existing AI/ML workflows for better accuracy and performance.

Requirements

• Proven experience in Python programming with a strong understanding of AI/ML frameworks such as PyTorch and TensorFlow.
• Hands-on experience working with cloud platforms (AWS, Azure, GCP).
• Deep understanding of NLP concepts, techniques, and preprocessing steps including regex searches, tokenization, stemming, lemmatization, and large-scale text processing.
• Strong knowledge of relational databases (MySQL, PostgreSQL, etc.) and NoSQL databases (MongoDB, DynamoDB, etc.).
• Experience in deploying AI/ML models into production environments.
• Good communication skills to work effectively with cross-functional teams including data scientists, business analysts, and software engineers.
• Solid problem-solving skills and ability to optimize workflows for scalability and performance.

Nice to Have

• Experience with large language models (Transformers, GPT, BERT).
• Familiarity with NLP libraries such as spaCy, NLTK, or Gensim.
• Experience working on NLG projects, including dialogue systems or content generation.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

Qualifications

• Educational background or certifications are not explicitly specified, but experience in Python, AI/ML, NLP, and cloud platforms is required.

Benefits & Perks

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business with access to over 5000 courses.
• Coaching opportunities with experienced colleagues from FinLabs and CoE groups.
• Cutting edge projects at leading tier-one banks, financial institutions, and insurance firms.
• A flat and approachable organization.
• A diverse, fun-loving, and global work culture.