Summary

Your role:

1. Assist in transforming AI research prototypes into practical applications.
2. Contribute to the design and development of AI-powered systems and features.
3. Research and apply suitable AI models, techniques, and tools under guidance.
4. Support the building and deployment of AI solutions aligned with business needs.
5. Help prepare datasets and data pipelines for training and inference tasks.
6. Perform model evaluation, benchmarking, and contribute to performance tuning.
7. Integrate existing AI libraries and frameworks into applications.
8. Craft and refine prompts for LLM-based tasks and evaluations.
9. Stay informed about current AI trends, including LLMs and generative AI technologies.

What makes you stand out:

1. Experience in an AI Engineering or ML-related role (1–3 years preferred).
2. Understanding of core ML/DL/NLP concepts and hands-on model development.
3. Solid knowledge of data structures, algorithms, and software engineering basics.
4. Proficient in Python and familiar with key AI/ML libraries (e.g., PyTorch, Transformers, etc.).
5. Exposure to LLM APIs (e.g., OpenAI, Anthropic) and their practical usage.
6. Familiarity with cloud platforms (AWS, GCP, or Azure) and container tools (e.g., Docker).
7. Experience contributing to the deployment or monitoring of ML models in production.
8. Strong communication and teamwork skills.
9. Analytical thinking and a proactive problem-solving attitude.
10. Bachelor’s degree in Computer Science, AI, or related field.

Nice to have:

1. Hands-on experimentation with large language models (LLMs) and prompt engineering.
2. Exposure to Retrieval-Augmented Generation (RAG) architectures.
3. Experience working with APIs in AI-powered applications.
4. Interest in MLOps and tools like MLflow, Airflow, or SageMaker.
5. Understanding of LLMOps concepts and workflows.
6. Basic knowledge of edge AI or model optimization techniques.
7. Background in areas like computer vision, reinforcement learning, or generative models.
8. Contributions to open-source AI projects or participation in AI hackathons/research.

Nexo benefits:

1. Competitive and rewarding remuneration package.
2. Annual performance-based bonuses.
3. Comprehensive Learning Hub for continuous growth.
4. Hybrid work model: primarily office-based with scheduled home office flexibility.
5. A dynamic and inspiring environment with cutting-edge projects.
6. Career development opportunities in a global leader driving the next generation of wealth.
7. Customizable personal benefits package.
8. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses.
9. Free parking with a designated space, free electric bikes, and public transportation cards.
10. Fresh fruits, snacks, and a well-stocked office kitchen.
11. Regular department team buildings and company-wide team buildings.

Skills

• Analytical Thinking
• AWS
• Communications Skills
• Machine Learning
• Problem Solving
• Python
• Software Engineering
• Team Collaboration