Technical Professional - Data Science (AI Engineer)

About the role

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

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Company Intel

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