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.
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 and generating customer insights
- 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
