What You'll Do:

What You'll Bring:

• Demonstrated success in leading data science teams and enterprise programs.

• Strong project management and stakeholder engagement skills.

• Experience with budgeting, resource planning, and team operations.

• Strong leadership and communication skills.

• Experience with programming languages such as Python, R, or SQL.

• Experience with big data technologies such as Hadoop or Spark.

• Experience with machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

• Experience with distributed computing tools such as MapReduce or Spark.

What We Prefer:

• Master's degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computer Engineering, Information Systems, Statistics, or a related technical field.

• Certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud AI services, MLOps, or other related technologies.

• Certifications in project management, agile delivery, product management, or management practices.

• Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive analytics solutions.

• Experience with AI model selection, prompt engineering, model evaluation, testing, documentation, risk assessment, and responsible AI practices.

• Experience translating business or client needs into AI use cases, technical requirements, evaluation criteria, and implementation plans.

• Experience with programming languages and technical tools such as Python, R, SQL, APIs, notebooks, version control, or cloud-based AI services.

• Experience supporting AI use cases for transportation, infrastructure, engineering, consulting, or public-sector clients.

Additional Information

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