Home/Jobs/AI Engineer AI Engineer Unisys Bengaluru 1+ years Today $13.3K–21.7K/yr Full-time Onsite Skills Required Gen AI LLM NLP Computer Vision MLOps Python Scikit-learn TensorFlow PyTorch Keras Data Science SQL Azure AWS GCP Description Unisys is seeking a motivated AI/ML Engineer with hands-on experience in designing, developing, and deploying Machine Learning and Artificial Intelligence solutions. The role requires strong analytical ability, communication skills, and collaboration with cross-functional teams.

Company: Unisys Role: AI/ML Engineer Experience 1+ years of experience in AI/ML development

1+ years of relevant experience or equivalent combination of education and experience Qualification Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field

Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field Responsibilities Develop, train, test, and deploy machine learning models for business applications

Work with structured and unstructured data for preprocessing, feature engineering, and model development

Implement AI/ML algorithms using Python and relevant frameworks

Monitor and optimize model performance for scalability and accuracy

Collaborate with data engineers, developers, and business stakeholders to deliver AI-driven solutions

Prepare technical documentation

Present findings to technical and non-technical audiences

Stay updated with advancements in AI, Machine Learning, and Generative AI Nice To Have Understanding of Generative AI, LLMs, NLP, or Computer Vision concepts

Familiarity with cloud platforms such as Azure, AWS, or GCP

Exposure to Generative AI,



Prompt Engineering, RAG, and LLM-based applications

Experience with Git, MLOps, CI/CD pipelines, and Model Deployment

Knowledge of REST APIs and microservices architecture More Skills Machine Learning, Artificial Intelligence, statistics, predictive modeling, data manipulation tools, Git, CI/CD pipelines, Model Deployment, REST APIs, microservices architecture, prompt engineering, RAG Other Excellent verbal and written communication skills

Strong problem-solving and analytical abilities

Ability to work effectively in a collaborative team workplace

Good presentation and stakeholder management skills

Eagerness to learn and adapt to new technologies

Equal opportunity employer statement

Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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