

Maximus Tech Inc
AI /ML/Data Science Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML/Data Science Engineer on a contract basis, offering $30.00 - $40.00 per hour for 8 hours per week. Key skills include TensorFlow, Python, AWS, and NLP, with experience in big data technologies and database design required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
320
-
ποΈ - Date
January 6, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Storden, MN 56174
-
π§ - Skills detailed
#Model Deployment #Datasets #HDFS (Hadoop Distributed File System) #Spark (Apache Spark) #Python #Bash #Data Mining #Java #Deployment #Scala #Talend #Data Storage #Data Pipeline #Storage #Cloud #AWS (Amazon Web Services) #ML (Machine Learning) #AI (Artificial Intelligence) #TensorFlow #"ETL (Extract #Transform #Load)" #Database Querying #Hadoop #SQL (Structured Query Language) #Supervised Learning #Scripting #NLP (Natural Language Processing) #SAS #Database Design #Data Science #Databases #Programming #R #Unix #Big Data #VBA (Visual Basic for Applications) #Database Architecture #Unsupervised Learning
Role description
Job OverviewWe are seeking a dynamic and innovative AI / Machine Learning / Data Science Engineer to join our forward-thinking team. In this role, you will harness the power of advanced analytics, machine learning frameworks, and big data technologies to develop intelligent solutions that drive strategic decision-making and operational excellence. Your expertise will help shape cutting-edge AI applications, natural language processing systems, and scalable data models that transform complex data into actionable insights. This position offers an exciting opportunity to work at the forefront of technology, leveraging cloud platforms like AWS and tools such as TensorFlow to deliver impactful results.
Responsibilities
Design, develop, and optimize machine learning models using frameworks like TensorFlow, Spark MLlib, and other AI tools for various applications including natural language processing and data mining.
Implement end-to-end data pipelines utilizing ETL processes with Talend, Hadoop, and Bash scripting to ensure seamless data flow from raw sources to analytical models.
Conduct model training, validation, and deployment in cloud environments such as AWS, ensuring scalability and robustness for production systems.
Collaborate with cross-functional teams to gather requirements, translate business needs into technical solutions, and integrate models into existing platforms.
Perform database design and management using SQL, SAS, and other database technologies to support large-scale analytics initiatives.
Develop algorithms for unsupervised learning techniques to uncover hidden patterns within big data sets.
Utilize natural language processing techniques to analyze unstructured text data and enhance AI-driven applications.
Engage in continuous research on emerging trends like quantum engineering and linked data to innovate new approaches for complex problem-solving.
Requirements
Proven experience with machine learning frameworks such as TensorFlow, R, SAS, Spark MLlib, or similar tools.
Strong programming skills in Python, Java, C, VBA, Bash (Unix shell), with additional experience in SQL for database querying.
Hands-on knowledge of big data technologies including Hadoop and Hadoop ecosystem components (e.g., HDFS).
Familiarity with cloud platforms like AWS for model deployment and scalable computing resources.
Expertise in data mining techniques and analytics methodologies to extract valuable insights from large datasets.
Experience designing databases and understanding database architecture principles for efficient data storage and retrieval.
Knowledge of natural language processing (NLP) techniques for text analysis applications.
Ability to work with diverse datasets such as linked data or unstructured information from multiple sources.
Strong analytical skills combined with a passion for innovation in AI and machine learning domains. Join us to be part of a vibrant environment where your skills will directly influence transformative projects! We are committed to fostering growth through continuous learning opportunitiesβempowering you to stay ahead in the rapidly evolving world of AI and data science.
Job Type: Contract
Pay: $30.00 - $40.00 per hour
Expected hours: 8 per week
Work Location: In person
Job OverviewWe are seeking a dynamic and innovative AI / Machine Learning / Data Science Engineer to join our forward-thinking team. In this role, you will harness the power of advanced analytics, machine learning frameworks, and big data technologies to develop intelligent solutions that drive strategic decision-making and operational excellence. Your expertise will help shape cutting-edge AI applications, natural language processing systems, and scalable data models that transform complex data into actionable insights. This position offers an exciting opportunity to work at the forefront of technology, leveraging cloud platforms like AWS and tools such as TensorFlow to deliver impactful results.
Responsibilities
Design, develop, and optimize machine learning models using frameworks like TensorFlow, Spark MLlib, and other AI tools for various applications including natural language processing and data mining.
Implement end-to-end data pipelines utilizing ETL processes with Talend, Hadoop, and Bash scripting to ensure seamless data flow from raw sources to analytical models.
Conduct model training, validation, and deployment in cloud environments such as AWS, ensuring scalability and robustness for production systems.
Collaborate with cross-functional teams to gather requirements, translate business needs into technical solutions, and integrate models into existing platforms.
Perform database design and management using SQL, SAS, and other database technologies to support large-scale analytics initiatives.
Develop algorithms for unsupervised learning techniques to uncover hidden patterns within big data sets.
Utilize natural language processing techniques to analyze unstructured text data and enhance AI-driven applications.
Engage in continuous research on emerging trends like quantum engineering and linked data to innovate new approaches for complex problem-solving.
Requirements
Proven experience with machine learning frameworks such as TensorFlow, R, SAS, Spark MLlib, or similar tools.
Strong programming skills in Python, Java, C, VBA, Bash (Unix shell), with additional experience in SQL for database querying.
Hands-on knowledge of big data technologies including Hadoop and Hadoop ecosystem components (e.g., HDFS).
Familiarity with cloud platforms like AWS for model deployment and scalable computing resources.
Expertise in data mining techniques and analytics methodologies to extract valuable insights from large datasets.
Experience designing databases and understanding database architecture principles for efficient data storage and retrieval.
Knowledge of natural language processing (NLP) techniques for text analysis applications.
Ability to work with diverse datasets such as linked data or unstructured information from multiple sources.
Strong analytical skills combined with a passion for innovation in AI and machine learning domains. Join us to be part of a vibrant environment where your skills will directly influence transformative projects! We are committed to fostering growth through continuous learning opportunitiesβempowering you to stay ahead in the rapidly evolving world of AI and data science.
Job Type: Contract
Pay: $30.00 - $40.00 per hour
Expected hours: 8 per week
Work Location: In person






