Model Development: Design, implement, and maintain AI models for financial data analysis, using state-of-the-art techniques in machine learning and natural language processing (NLP).
Data Integration: Develop solutions to ingest and process various data formats from internal and external sources, ensuring seamless integration with Skylark's platform.
Algorithm Optimization: Enhance and optimize existing algorithms to improve the performance and accuracy of the platform's analysis capabilities.
Collaboration: Work closely with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
Scalability: Ensure the AI models and algorithms can scale efficiently with increasing data volumes and user demands.
Research: Stay updated with the latest advancements in AI and NLP, and incorporate relevant innovations into Skylark’s platform.
Quality Assurance: Develop and execute unit tests and validation protocols to ensure the robustness and reliability of AI solutions.

Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Experience: 4+ years of experience in AI/ML development, with a focus on NLP and financial data analysis.
Technical Skills:
- Proficiency in programming languages such as Python and frameworks like TensorFlow, PyTorch, or Keras.
- Experience with LLMs and NLP libraries (e.g., Hugging Face Transformers).
- Strong knowledge of data processing tools and techniques, including ETL processes.
Team Player: Excellent communication and teamwork skills, with a proactive and collaborative approach to work.
Adaptability: Ability to work in a fast-paced, dynamic environment and quickly adapt to new technologies and methodologies.

Experience with financial data analysis and familiarity with financial documents.
Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
Understanding of API development and integration.

Competitive salary and benefits package.
Opportunity to work with cutting-edge technologies in a dynamic and innovative environment.
Professional development and growth opportunities.
Collaborative and inclusive company culture.

AI Engineer