About the Role
We’re seeking curious thinkers looking to co-author the next chapters of our story. Joining now means helping shape our vision, structures, and systems; playing a key-role as we launch into our ambitious future.
We're looking for a Data AI Engineer to work on the NextGen connectivity platform across platforms. This is an outstanding opportunity to help build an ambitious future for our flagship product.
What You'll Do:
- Predictive Model Development:
- Design and build machine learning models to analyze trends, predict outcomes, and optimize business processes.
- Work with structured and unstructured datasets to develop models for forecasting, anomaly detection, and decision-making.
- LLM Integration:
- Fine-tune and adapt large language models (e.g., OpenAI, Hugging Face, etc.) for domain-specific applications.
- Implement and enhance NLP capabilities, such as summarization, sentiment analysis, entity recognition, and chatbot development.
- Data Preprocessing and Feature Engineering:
- Clean, preprocess, and transform large datasets into formats suitable for model training and evaluation.
- Perform exploratory data analysis to identify trends and insights that guide model development.
- Model Deployment and Optimization:
- Deploy and integrate models into production systems, ensuring scalability and low latency.
- Continuously monitor and refine model performance using techniques like retraining, hyperparameter tuning, and model explainability tools.
- Collaboration and Stakeholder Engagement:
- Collaborate with cross-functional teams to translate business needs into technical solutions.
- Present findings and insights to stakeholders in a clear, actionable manner.
- Research and Innovation:
- Stay updated with advancements in AI, ML, and LLM technologies to introduce cutting-edge practices and tools.
- Explore novel ways of applying LLMs and predictive analytics to create business value.
What You'll Need:
- Educational Background:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields.
- Technical Skills:
- Strong experience in predictive modeling, time-series analysis, and machine learning algorithms.
- Proficiency with LLM frameworks (e.g., Hugging Face Transformers, LangChain) and familiarity with foundational models like GPT or similar.
- Hands-on experience with programming languages such as Python (preferred), R, or Scala.
- Proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience in data manipulation and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).
- Understanding of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
- Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication skills to explain complex models and outcomes to non-technical stakeholders.
- Collaborative mindset with the ability to work in multidisciplinary teams.
- Preferred Qualifications:
- Prior experience in deploying LLM-powered solutions at scale.
- Knowledge of reinforcement learning or generative AI techniques.
- Familiarity with MLOps tools for automating ML workflows.
What We’ll Offer
- Collaborative and innovative work environment
- Aviation, Maritime domain exposure, and business knowledge
- Connectivity and content engineering and business knowledge
- Opportunity to work in cross-functional teams.
- Competitive health benefits that start on day one
- Generous paid time off policy
- Opportunities for hybrid offices.
- Enterprise Product end-to-end experience with direct customer feedback
- Performance-based bonus
- International travel/vacation; a cruise or in-flight end-user experience
- Opportunity to work across teams and organizations.