

Tech Scalerz LLC
Senior AI/ML Engineer / Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer/Data Scientist, a remote contract position for over 6 months, offering $90.00 - $140.00 per hour. Candidates need 10+ years of experience in Python, ML frameworks, and MLOps systems.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
1120
-
🗓️ - Date
March 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Remote
-
🧠 - Skills detailed
#Pandas #Deep Learning #GIT #Data Processing #Statistics #Version Control #Predictive Modeling #NLP (Natural Language Processing) #Programming #Microservices #Scala #AWS (Amazon Web Services) #PySpark #Spark (Apache Spark) #Datasets #NumPy #Cloud #ML (Machine Learning) #Kubernetes #PyTorch #TensorFlow #Deployment #Azure #AI (Artificial Intelligence) #Data Science #Data Engineering #REST (Representational State Transfer) #REST API #GCP (Google Cloud Platform) #Python #Docker
Role description
Location: Remote (U.S.)Experience: 10+ YearsEmployment Type: Contract / Full-Time
Job Overview
We are looking for a Senior AI/ML Engineer / Data Scientist to design, build, and deploy scalable machine learning and AI solutions.
This role involves working on end-to-end ML systems, including data processing, model development, deployment, and MLOps in a production environment.
This role may also be relevant for professionals with experience as a Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, or MLOps Engineer.
Key Responsibilities
Design and develop machine learning and deep learning models
Build and deploy scalable ML pipelines and MLOps workflows
Work with large datasets using Python and data processing frameworks
Implement solutions in areas such as: Natural Language Processing (NLP), Computer Vision, and Predictive Analytics
Develop and integrate REST APIs and microservices
Deploy models using Docker, Kubernetes, and cloud platforms
Collaborate with cross-functional teams to deliver production-ready AI solutions
Optimize model performance, scalability, and reliability
Required Skills
Strong programming experience in Python
Hands-on experience with ML frameworks:
TensorFlow
PyTorch
Scikit-learn
Experience with data processing tools:
Pandas
NumPy
Spark / PySpark
Experience building and deploying ML pipelines and MLOps systems
Knowledge of NLP, Computer Vision, or Predictive Modeling
Experience with Docker, Kubernetes, and CI/CD pipelines
Experience with REST APIs and microservices architecture
Strong understanding of statistics, data structures, and algorithms
Experience with Git or version control systems
Nice to Have
Experience with cloud platforms (AWS, Azure, or GCP)
Experience working with large-scale production ML systems
Background in data engineering or distributed systems
Work Authorization
Candidates must be authorized to work in the United States.
This role is also suitable for people with the following skill sets:
AI Engineer, Machine Learning Engineer, Data Scientist, MLOps Engineer, Python, TensorFlow, PyTorch, NLP, Computer Vision, Spark, Kubernetes, Deep Learning
Pay: $90.00 - $140.00 per hour
Work Location: Remote
Location: Remote (U.S.)Experience: 10+ YearsEmployment Type: Contract / Full-Time
Job Overview
We are looking for a Senior AI/ML Engineer / Data Scientist to design, build, and deploy scalable machine learning and AI solutions.
This role involves working on end-to-end ML systems, including data processing, model development, deployment, and MLOps in a production environment.
This role may also be relevant for professionals with experience as a Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, or MLOps Engineer.
Key Responsibilities
Design and develop machine learning and deep learning models
Build and deploy scalable ML pipelines and MLOps workflows
Work with large datasets using Python and data processing frameworks
Implement solutions in areas such as: Natural Language Processing (NLP), Computer Vision, and Predictive Analytics
Develop and integrate REST APIs and microservices
Deploy models using Docker, Kubernetes, and cloud platforms
Collaborate with cross-functional teams to deliver production-ready AI solutions
Optimize model performance, scalability, and reliability
Required Skills
Strong programming experience in Python
Hands-on experience with ML frameworks:
TensorFlow
PyTorch
Scikit-learn
Experience with data processing tools:
Pandas
NumPy
Spark / PySpark
Experience building and deploying ML pipelines and MLOps systems
Knowledge of NLP, Computer Vision, or Predictive Modeling
Experience with Docker, Kubernetes, and CI/CD pipelines
Experience with REST APIs and microservices architecture
Strong understanding of statistics, data structures, and algorithms
Experience with Git or version control systems
Nice to Have
Experience with cloud platforms (AWS, Azure, or GCP)
Experience working with large-scale production ML systems
Background in data engineering or distributed systems
Work Authorization
Candidates must be authorized to work in the United States.
This role is also suitable for people with the following skill sets:
AI Engineer, Machine Learning Engineer, Data Scientist, MLOps Engineer, Python, TensorFlow, PyTorch, NLP, Computer Vision, Spark, Kubernetes, Deep Learning
Pay: $90.00 - $140.00 per hour
Work Location: Remote






