Etl Consultant

Qualifications:

Required:

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Ability to obtain and maintain the required clearance for this role
• Bachelor's Degree in a quantitative field, such as computer science, mathematics, statistics, economics, or physics
• 6+ years of experience managing and analyzing big data
• Hands-on development experience of AI/ML models, open-source software packages, or cloud AI software
• Experience across the entire model development lifecycle, including interacting with model risk management teams and executing model governance best practices to support trust in AI
• Deep technical understanding, including proficiency in an analytical programming language, such as SAS, Python, or R
• Genuine passion for AI and interest in using machine learning techniques to solve practical business problems and ethical concerns
• A driven self-starter and leader with strong project management skills and proven instances of successfully delivering AI projects and systems
• A team player who can mentor and grow the team around you
• Attentive to detail and quick to adapt to new challenges
• Candidates must be at least 18 years of age at the time of employment
  

Preferred:

• Master's degree or Ph.D. in a quantitative field, such as computer science, mathematics, statistics, economics, or physics
• Experience with advanced machine learning techniques and packages (TensorFlow, PyTorch, Keras, Scikit-Learn, Pandas, NumPy, Seaborn, Orange3, SciPy, Matplotlib, Theano)
• Development experience of explainable AI algorithms and frameworks (LIME, SHAP)
• Project Management certification (PMP, PRINCE) and/or Agile (e.g., APM, CSM, PMI-ACP, SAFe SM, CSPO)
• Cloud certifications (AWS, Azure, Google Cloud)
• Experience orchestrating MLOps pipelines (MLflow, Kubeflow)
• Experience with designing controls for adversarial machine learning threats
• Published research in the field of AI ethics or AI trust
• Development of AI audit or governance frameworks