AI/ Machine Learning Engineer
1 week ago
Duties
- Design, develop, and optimize machine learning models using frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve complex business problems.
- Lead model training processes, ensuring high accuracy and robustness through iterative testing and validation.
- Implement unsupervised learning techniques for pattern recognition, anomaly detection, and data mining across diverse datasets.
- Deploy models into production environments utilizing cloud platforms like AWS and containerization tools for scalable deployment.
- Collaborate with data engineers to design efficient ETL pipelines that facilitate seamless data ingestion from various sources including Hadoop, SQL databases, and linked data repositories.
- Conduct database design and management to support large-scale data analysis while ensuring data integrity and security.
- Utilize SQL, Python, R, SAS, and Bash scripting for data analysis, automation, and troubleshooting tasks.
- Apply natural language processing (NLP) techniques to extract insights from unstructured text data for applications such as chatbots or sentiment analysis.
- Engage in big data analytics using tools like Hadoop, Spark, Talend, and Looker to uncover actionable insights.
- Contribute to cross-functional teams by translating business needs into technical specifications for model development and deployment.
- Stay abreast of emerging trends in quantum engineering, AI advancements, and machine learning frameworks to continuously enhance our capabilities.
Qualifications
- Proven experience in developing machine learning models with frameworks such as TensorFlow or similar platforms.
- Strong programming skills in Python, Java, C, VBA, Bash (Unix shell), with a solid understanding of software development best practices.
- Hands-on experience with AWS cloud services for model training and deployment at scale.
- Expertise in big data technologies including Hadoop, Spark, Talend, and ETL processes for large-scale data processing.
- Proficiency in SQL and database design principles to manage structured data efficiently.
- Knowledge of natural language processing (NLP), unsupervised learning techniques, and AI methodologies.
- Familiarity with analytics tools like Looker for visualization and reporting purposes.
- Experience working with machine learning frameworks such as SAS or R is a plus.
- Ability to perform data mining tasks effectively while maintaining high standards of accuracy and security.
- Strong analytical skills combined with the ability to communicate complex technical concepts clearly across teams. Join us if you're passionate about transforming raw data into innovative solutions that make a real difference This role offers the chance to work on challenging projects that push the boundaries of AI technology while collaborating with talented professionals dedicated to excellence in analytics and model deployment.
Job Type: Full-time
Pay: $48,435.90-$149,887.31 per year
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