About the Role
We are seeking a Machine Learning / AI Engineer to develop, deploy, and optimize AI solutions, particularly for language processing tasks. You will work with advanced language models, cloud infrastructure, and cross-functional teams to build responsible and scalable AI systems.
Essential Skills
- Strong foundation in data science fundamentals with experience developing and deploying machine learning models for language processing
- Proficiency in Python and JavaScript programming languages
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Transformers
- Expertise with NLP libraries and frameworks including scikit-learn, NumPy, NLTK, and SpaCy for text processing, sentiment analysis, and named entity recognition
- Familiarity with language models like GPT and BERT, with ability to fine-tune and adapt them for specific use cases
- Experience with LLM frameworks such as LangChain, OpenAI APIs, and vector databases with prompt design techniques
- Knowledge of AWS ecosystem, serverless architectures, and ability to create APIs for integrating ML models into applications
- Understanding of AI ethics including privacy, bias, fairness, and transparency in responsible AI implementation
Collaboration & Soft Skills
- Strong verbal and written communication skills in English
- Ability to work effectively with developers and cross-functional teams
- Excellent problem-solving skills for complex AI challenges
- Experience with Agile/Scrum methodologies, JIRA, RESTful APIs, and DevOps principles
- Commitment to software engineering best practices including version control and test-driven development
Requirements
- Bachelor's or Master's degree in Engineering or related field (Bac +4/5)
- 3 years of professional experience as an ML/AI Engineer
- Experience in the insurance domain is preferred
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