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
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💰 - Day rate
1120
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🗓️ - Date
March 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Remote
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🧠 - 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