AI/ML Engineer
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Role details
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Job description
We are seeking a dynamic and innovative AI/ML Engineer to join our forward-thinking team. In this role, you will harness the power of artificial intelligence and machine learning to develop cutting-edge solutions that drive data-driven insights and enhance business operations. Your expertise will enable the design, implementation, and deployment of scalable AI models and algorithms, transforming complex data into actionable intelligence. This position offers an exciting opportunity to work with advanced technologies such as natural language processing, generative AI, big data systems, and cloud-based machine learning services, all aimed at solving real-world challenges with precision and creativity., * Develop, train, and optimize machine learning models using frameworks like TensorFlow, Spark MLlib, and other AI tools to support predictive analytics and data mining initiatives.
- Design and implement scalable big data systems utilizing Hadoop, Spark, ETL processes, and SQL databases to manage large datasets efficiently.
- Apply statistical analysis techniques for research purposes, including statistical modeling and analysis tools such as SAS and R, to extract meaningful insights from complex data sets.
- Deploy AI/ML models into production environments leveraging cloud services like AWS Machine Learning platforms to ensure scalability and reliability.
- Collaborate with cross-functional teams to integrate natural language processing (NLP) capabilities and generative AI solutions into existing products or new applications.
- Conduct model evaluation and validation to ensure accuracy, robustness, and compliance with project requirements.
- Perform data analytics using tools like Looker, Talend, VBA, Bash (Unix shell), supporting data visualization and reporting efforts that inform strategic decisions.
Requirements
- Proven experience in developing machine learning algorithms with frameworks such as TensorFlow or similar platforms.
- Strong background in big data systems including Hadoop, Spark implementation, and SQL database design.
- Hands-on experience with cloud-based AI/ML services on platforms like AWS or equivalent cloud providers.
- Proficiency in programming languages such as Python, Java, C, R, and Bash scripting for automation and model deployment tasks.
- Demonstrated ability in statistical analysis for research purposes using SAS or other statistical tools.
- Knowledge of natural language processing techniques and generative AI applications is highly desirable.
- Familiarity with data mining techniques, data analytics tools like Looker or Talend, and scalability considerations for large-scale AI solutions.
Join us to push the boundaries of artificial intelligence innovation! We are committed to fostering a vibrant environment where your expertise can thrive-delivering impactful solutions that shape the future of technology through continuous learning and collaboration.
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