Machine Learning Engineer (Contract, Remote)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Machine Learning Engineer (Contract, Remote) position with a pay rate of $75.00 - $150.00 per hour for 20-40 hours per week. Key skills include Python, TensorFlow, AWS, and big data technologies. Experience in machine learning models and data mining is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
1200
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🗓️ - Date discovered
August 15, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#Deployment #Hadoop #Database Design #TensorFlow #ML (Machine Learning) #Big Data #Bash #AI (Artificial Intelligence) #Supervised Learning #Datasets #Talend #SAS #Spark (Apache Spark) #AWS (Amazon Web Services) #Python #Cloud #Data Integration #Data Mining #Data Manipulation #Programming #Data Science #Looker #Scala #Scripting #Data Processing #Java #Unix #Model Deployment #Data Extraction #SQL (Structured Query Language) #Unsupervised Learning #"ETL (Extract #Transform #Load)" #NLP (Natural Language Processing) #R
Role description
Job SummaryWe are seeking a skilled Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our data-driven decision-making processes. You will work closely with data scientists and software engineers to implement robust machine learning solutions that leverage big data technologies and advanced analytics.
Duties
Develop and implement machine learning algorithms and models using frameworks such as TensorFlow, Spark, and SAS.
Conduct data mining and preprocessing to prepare datasets for model training.
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Design and optimize ETL processes for efficient data extraction, transformation, and loading.
Deploy machine learning models into production environments ensuring scalability and reliability.
Utilize AWS services for cloud-based model deployment and management.
Engage in continuous learning of new technologies in AI, natural language processing, and quantum engineering.
Document processes, methodologies, and results to ensure knowledge sharing within the team.
Qualifications
Proficiency in programming languages such as Python, Java, C, and R.
Strong understanding of machine learning concepts including supervised and unsupervised learning techniques.
Experience with big data technologies such as Hadoop and analytics tools like Looker.
Familiarity with database design principles and SQL for effective data manipulation.
Knowledge of linked data principles and experience with tools like Talend for data integration.
Experience in model training, evaluation, and deployment using various machine learning frameworks.
Ability to work with Bash (Unix shell) for scripting tasks related to data processing.
Excellent problem-solving skills with a strong analytical mindset. Join us in pushing the boundaries of technology through innovative machine learning solutions that drive impactful results.
Job Type: Contract
Pay: $75.00 - $150.00 per hour
Expected hours: 20 – 40 per week
Benefits:
Flexible schedule
Referral program
Work Location: Remote
Job SummaryWe are seeking a skilled Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our data-driven decision-making processes. You will work closely with data scientists and software engineers to implement robust machine learning solutions that leverage big data technologies and advanced analytics.
Duties
Develop and implement machine learning algorithms and models using frameworks such as TensorFlow, Spark, and SAS.
Conduct data mining and preprocessing to prepare datasets for model training.
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Design and optimize ETL processes for efficient data extraction, transformation, and loading.
Deploy machine learning models into production environments ensuring scalability and reliability.
Utilize AWS services for cloud-based model deployment and management.
Engage in continuous learning of new technologies in AI, natural language processing, and quantum engineering.
Document processes, methodologies, and results to ensure knowledge sharing within the team.
Qualifications
Proficiency in programming languages such as Python, Java, C, and R.
Strong understanding of machine learning concepts including supervised and unsupervised learning techniques.
Experience with big data technologies such as Hadoop and analytics tools like Looker.
Familiarity with database design principles and SQL for effective data manipulation.
Knowledge of linked data principles and experience with tools like Talend for data integration.
Experience in model training, evaluation, and deployment using various machine learning frameworks.
Ability to work with Bash (Unix shell) for scripting tasks related to data processing.
Excellent problem-solving skills with a strong analytical mindset. Join us in pushing the boundaries of technology through innovative machine learning solutions that drive impactful results.
Job Type: Contract
Pay: $75.00 - $150.00 per hour
Expected hours: 20 – 40 per week
Benefits:
Flexible schedule
Referral program
Work Location: Remote
