Senior Specialist AI Specialist Group Digital Transformation

Job summary

As an AI Specialist, you will be responsible for developing predictive models, performing advanced analytics and generating insights that drive significant business impact. You will be collaborating with cross-functional teams, articulating complex data concepts in a business-friendly manner to stakeholders. You will also contribute to operational excellence and support new initiatives requiring AI-driven solutions.

General responsibilities

 Drive rapid prototyping of innovative ideas, transforming concepts into tangible data-driven solutions quickly and efficiently.
 Lead data science projects from ideation and data preparation to model development, deployment and monitoring.
 Develop and implement predictive models and machine learning algorithms using Python, TensorFlow or PyTorch
 Analyze complex datasets to extract insights and support data-driven decision making.
 Develop dashboards, visualizations, and impactful insights that support effective business decision making
 Collaborate closely with data engineers and cross functional teams to ensure seamless data integration and operational efficiency.
 Apply MLOps practices to manage and deploy models in production environments using Azure cloud platform and tools like Docker and CI/CD pipelines.
 Translate complex analytical insights into clear, business-oriented recommendations.
 Apply agile methodologies to manage and execute data science projects effectively.
 Stay updated with the latest trends in data science and proactively evangelize new technologies or methodologies to the organization Leadership responsibilities
 Able to influence opinions and decisions when working closely with internal and external stakeholders.
 Identify, solve issues to ensure projects stay on track and meet objectives
 Effective communication with both technical and non-technical stakeholders
 Ensure collaboration with cross-functional teams and stakeholders to ensure smooth project execution and achievement of business goals

Job requirements

Functional skills and knowledge

 Proficient in Python, Tensorflow or PyTorch
 Strong foundation in statistics, machine learning, algorithms and data structures
 Strong experience with data visualization tools
 Demonstrated experience in predictive analytics, operational excellence andPage 3
 Solid understanding or Agile / Scrum methodologies
 Experience with MLOps practices, including model deployment, monitoring and CI/CD for data science workflows
 Knowledge of modern AI techniques, including generative AI and advance machine learning methods.
 Strong problem-solving and analytical thinking skills Preferred skills
 Experience with MLOps tools (e.g. MLflow or similar frameworks).
 Familiarity with containerization and orchestration tools (e.g. Docker)
 Ability to work independently and manage multiple projects simultaneously.
 Innovative mindset and a passion for continuous learning and introducing new technologies. 

Education

 Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees or relevant certifications are a plus.

Work experience

 Minimum of 5 years relevant experience in data science, analytics or related areas