AI Engineer

Hiring 5+ AI Engineer, you’ll build, evaluate, and deploy machine learning solutions that turn complex data into useful insights and products. You’ll work across data pipelines, statistical analysis, and AI implementation, selecting practical tools and methods to support reliable, scalable systems. Your impact: By developing and evaluating predictive and language models, you’ll help teams make better-informed decisions and deliver more useful data-driven services., * Prepare and transform data using ETL (extract, transform, load), SQL databases, data mining, and big data systems.

• Train and evaluate machine learning models, including unsupervised learning, predictive modeling, and natural language processing.
• Deploy AI models and machine learning cloud services; monitor performance, scalability, and reliability.
• Apply statistical modeling, statistical analysis for research, and data analytics to guide model development.
• Collaborate on Spark implementation, linked data, and generative AI projects, documenting methods and results.

• Core: Python, SQL, machine learning, model training, model evaluation, machine learning frameworks, and AI models.
• Data and analytics: Database design, ETL, big data, Hadoop, Spark, AWS, Talend, Looker, analytics, and statistical analysis tools.
• Additional programming: Java, C, R, SAS, VBA, and Bash (Unix shell); experience with TensorFlow is useful.
• Applied AI: AI, AI implementation, machine learning/AI-based analysis, statistical analysis, predictive modeling analysis, and machine learning cloud services.
• Preferred areas: Generative AI, natural language processing, linked data, and quantum engineering; familiarity with scalable data systems is an advantage
• Company -SDLC
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