Kasmo
Snowflake AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a contract position for a Snowflake AI/ML Engineer, offering $45.00 - $60.00 per hour. Required skills include machine learning, big data technologies (Hadoop, Talend), SQL, and programming in Python, Java, C, and R. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
October 15, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX 75201
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🧠 - Skills detailed
#Database Design #Supervised Learning #NLP (Natural Language Processing) #Hadoop #Bash #Programming #Data Quality #Talend #Datasets #SQL (Structured Query Language) #Deployment #Data Engineering #Spark (Apache Spark) #Visualization #R #"ETL (Extract #Transform #Load)" #TensorFlow #VBA (Visual Basic for Applications) #Big Data #Automation #AWS (Amazon Web Services) #ML (Machine Learning) #Snowflake #AI (Artificial Intelligence) #Database Querying #Data Mining #Cloud #Looker #Unix #Java #Python #Unsupervised Learning #Data Integration
Role description
Tittle: Snowflake AI/ML Engineer
Contract Position
Job OverviewWe are seeking a talented and innovative Snowflake AI/ML Engineer to join our dynamic team. In this role, you will leverage your expertise in machine learning and artificial intelligence to develop and deploy advanced models that drive data-driven decision-making. You will work closely with cross-functional teams to design, implement, and optimize solutions that enhance our data analytics capabilities. The ideal candidate will have a strong background in machine learning frameworks and a passion for working with big data technologies.
Responsibilities
Design, develop, and deploy machine learning models using frameworks such as TensorFlow and Spark.
Implement ETL processes to ensure efficient data integration from various sources.
Collaborate with data engineers to optimize database design and ensure data quality.
Conduct data mining and analytics to extract valuable insights from large datasets.
Utilize programming languages such as Python, Java, C, and R for model training and deployment.
Apply unsupervised learning techniques to identify patterns and trends within the data.
Work with cloud platforms like AWS to manage resources and deploy solutions effectively.
Develop scripts using Bash (Unix shell) or VBA for automation of tasks.
Engage in quantum engineering projects that explore innovative AI applications.
Utilize tools like Looker for data visualization and reporting.
Requirements
Proficiency in machine learning concepts, model training, and deployment.
Strong experience with big data technologies including Hadoop and Talend.
Familiarity with linked data principles and natural language processing techniques.
Solid understanding of SQL for database querying and management.
Experience with analytics tools and methodologies to drive business insights.
Knowledge of various machine learning frameworks is highly desirable.
Excellent problem-solving skills with the ability to work independently as well as part of a team.
Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Join us in pushing the boundaries of technology through innovative AI solutions!
Job Type: Contract
Pay: $45.00 - $60.00 per hour
Work Location: In person
Tittle: Snowflake AI/ML Engineer
Contract Position
Job OverviewWe are seeking a talented and innovative Snowflake AI/ML Engineer to join our dynamic team. In this role, you will leverage your expertise in machine learning and artificial intelligence to develop and deploy advanced models that drive data-driven decision-making. You will work closely with cross-functional teams to design, implement, and optimize solutions that enhance our data analytics capabilities. The ideal candidate will have a strong background in machine learning frameworks and a passion for working with big data technologies.
Responsibilities
Design, develop, and deploy machine learning models using frameworks such as TensorFlow and Spark.
Implement ETL processes to ensure efficient data integration from various sources.
Collaborate with data engineers to optimize database design and ensure data quality.
Conduct data mining and analytics to extract valuable insights from large datasets.
Utilize programming languages such as Python, Java, C, and R for model training and deployment.
Apply unsupervised learning techniques to identify patterns and trends within the data.
Work with cloud platforms like AWS to manage resources and deploy solutions effectively.
Develop scripts using Bash (Unix shell) or VBA for automation of tasks.
Engage in quantum engineering projects that explore innovative AI applications.
Utilize tools like Looker for data visualization and reporting.
Requirements
Proficiency in machine learning concepts, model training, and deployment.
Strong experience with big data technologies including Hadoop and Talend.
Familiarity with linked data principles and natural language processing techniques.
Solid understanding of SQL for database querying and management.
Experience with analytics tools and methodologies to drive business insights.
Knowledge of various machine learning frameworks is highly desirable.
Excellent problem-solving skills with the ability to work independently as well as part of a team.
Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Join us in pushing the boundaries of technology through innovative AI solutions!
Job Type: Contract
Pay: $45.00 - $60.00 per hour
Work Location: In person
