Artificial Intelligence Engineer

Skills

Job Specifications

Develop and optimize Machine Learning and Deep Learning models using frameworks like TensorFlow or PyTorch.
Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
Build and maintain AI pipelines, from data processing to model deployment.
Analyze complex datasets to uncover insights and improve model performance.
Ability to analyze complex problems and develop effective AI-driven solutions.
Deploy AI solutions on cloud platforms such as AWS.
Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
Deep understanding of deploying AI applications within a CI/CD environment, specifically AWS.

Required qualifications:

Strong programming skills in Python, R, or Java.
Hands-on experience with Machine Learning algorithms and frameworks.
Familiarity with major cloud platforms for AI deployment.
Strong analytical and problem‑solving skills.
Solid foundation in mathematics and statistics.

Preferred qualifications:

Experience with MLOps tools (e.g., MLflow, Kubeflow).
Knowledge of big data technologies (Spark, Hadoop, Databricks).
Background in NLP, computer vision, or other advanced AI techniques.
Relevant Certifications (Coursera, edX, AWS, Azure, Google Cloud).

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About the Company

We are a global technology solutions company that powers breakthroughs for the world’s leading organizations. These solutions — digital workplace, cloud, applications & infrastructure, enterprise computing and business process solutions — help people overcome obstacles and not only reach their greatest potential but go beyond it. For more information about how we deliver for our clients, visit https://www.unisys.com/. Know more

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