Data AI Engineer.

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.

Were looking for a Data Scientist (Optimization) 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 Youll 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 Youll 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.
• Domain-specific expertise in [Insert relevant field, e.g., healthcare, finance, logistics, etc.].

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.