Technical Professional - Data Science (AI Engineer)

Job Duties

• Under general supervision, a Data Scientist will perform data engineering, data modelling, or model deployment.
• A Data Scientist will collaborate to obtain data from sources, complete data clean-up and build a data dictionary under guidance.
• This role can build models under guidance and understand how to deploy the model and assist in the deployment process.
• Transition legacy SQL Server reporting infrastructure to a Snowflake-based data lake architecture
• Understand business requirements, analyze operational challenges, and develop AI-driven solutions that deliver measurable business value and process improvements.
• Design, develop, and implement AI/ML models and algorithms.
• Build and deploy machine learning, deep learning, and NLP solutions.
• Work with structured and unstructured datasets to extract meaningful insights.
• Develop and optimize data pipelines for model training and deployment.
• Integrate AI models into applications through APIs or cloud platforms.
• Monitor model performance and continuously improve model accuracy and efficiency.
• Stay updated with the latest advancements in AI and machine learning technologies.
• Document technical solutions, models, and development processes.

Qualification

• Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Data Science, or related field

• Minimum 3 years of relevant experience in AI/ML development, data engineering, or related fields

Preferred Certifications (Added Advantage)

• AI / Machine Learning certifications
• Data Analyst certifications
• Data Science certifications
• Cloud certifications (Azure, AWS, or GCP)

Required skills:

• Strong programming skills in Python (preferred), Java, or C++
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Hands-on experience with Snowflake data platform

Additional competencies:

• Knowledge of data structures, algorithms, and statistical analysis
• Experience with NLP, computer vision, or predictive modeling
• Familiarity with cloud platforms such as Azure, AWS, or GCP
• Experience with APIs, microservices, and system integration
• Strong analytical, problem-solving, and communication skills