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As an AI Engineer, you will design, develop, and implement advanced technical solutions to solve complex business problems. You will work across the full lifecycle of AI development—from initial prototyping to production deployment—ensuring our systems are intelligent, scalable, and impactful. Collaborating with diverse technical teams, you will bridge the gap between data science research and software engineering.
Job Responsibility:
Design and build robust machine learning models and algorithms tailored to organizational needs
Process and refine large datasets from multiple sources to ensure high-quality inputs for model training
Train, test, and fine-tune models to ensure high performance, accuracy, and reliability
Deploy models into live environments and integrate them seamlessly with existing software architecture
Oversee models in production, performing regular updates and maintenance to mitigate drift and ensure long-term relevance
Partner with stakeholders and engineering teams to translate business requirements into technical specifications
Keep pace with emerging AI trends and methodologies to evolve the internal technology stack
Requirements:
Degree in a quantitative field (e.g., Computer Science, Mathematics, or Engineering)
Proven track record in a machine learning or data engineering role
Strong coding skills in modern backend or data-centric programming languages
Hands-on experience with industry-standard machine learning libraries and toolkits
Solid understanding of data structures, SQL, and large-scale data processing tools
Strong problem-solving skills with the ability to interpret complex data patterns
Nice to have:
Familiarity with Natural Language Processing (NLP), Computer Vision, or Recommendation Systems
Experience with cloud computing platforms and big data environments
Understanding of automated deployment pipelines and model versioning