Python AI/ML

Master Compliance

Texas City, TX, United States

about 2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$65,021.0 - $78,291.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Bash Shell Big Data Cloud Computing Cluster Analysis Databases Extract Transform Load (ETL) Data Mining Data Visualization Database Design

+23 more

R (Programming Language) Apache Hadoop Python (Programming Language) Linked Data Machine Learning Language Modeling Natural Language Processing Pattern Recognition Performance Tuning Tensorflow SAS (Software) SQL Databases Talend Data Storage Technologies Apache Spark Deep Learning Spark Mllib Scikit Learn Machine Learning Operations Text Analysis Looker Analytics Data Pipelines Unsupervised Learning

Job description

We are seeking a dynamic and innovative Python AI/ML Engineer to join our cutting-edge data science team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop, train, and deploy advanced models that drive strategic insights and operational efficiencies. Your work will involve harnessing big data technologies, natural language processing, and deep learning frameworks to solve complex problems across diverse domains. This position offers an exciting opportunity to contribute to transformative projects that shape the future of intelligent systems., * Design, develop, and optimize machine learning models using Python and popular frameworks such as TensorFlow and other ML libraries.

Implement unsupervised learning techniques for data clustering, anomaly detection, and pattern recognition to uncover hidden insights.
Collaborate with cross-functional teams to gather requirements, define project scope, and translate business needs into technical solutions.
Manage data pipelines utilizing ETL tools like Talend and Bash scripts to extract, transform, and load large datasets from various sources including Hadoop, Spark, and SQL databases.
Conduct model training, validation, tuning, and deployment processes ensuring high accuracy and scalability in cloud environments like AWS.
Develop natural language processing applications for text analysis, sentiment detection, and language modeling using AI frameworks.
Design scalable database architectures and optimize data storage solutions for efficient querying and analytics with SQL, R, SAS, or linked data approaches.

Requirements

Proven experience with Python programming for AI/ML applications in a professional setting.
Strong knowledge of machine learning frameworks such as TensorFlow, Spark MLlib, or similar tools.
Hands-on experience with big data technologies including Hadoop, Spark, and related ecosystem components.
Familiarity with cloud platforms like AWS for model deployment and scalable computing resources.
Expertise in natural language processing (NLP), data mining techniques, and model training methodologies.
Proficiency in SQL for database design and querying; experience with R or SAS is a plus.
Knowledge of Java or C is advantageous for integrating AI solutions within larger systems.
Ability to work with complex datasets involving linked data concepts and perform analytics using Looker or similar visualization tools.

About the company

Join us to be at the forefront of AI innovation! Bring your passion for machine learning, big data analytics, and cutting-edge technology to help us develop intelligent solutions that make a real impact across industries. We value energetic problem-solvers eager to push the boundaries of what’s possible with AI/ML!