

Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in Charlotte, NC, offering $65/hr for a 6-month contract. Requires 8+ years in software engineering, 3+ in leadership, expertise in Python, Java, AI/ML frameworks, and cloud platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
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ποΈ - Date discovered
July 1, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Charlotte, NC
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π§ - Skills detailed
#Programming #Data Science #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Leadership #ML (Machine Learning) #Automation #Batch #Cloud #TensorFlow #Kubernetes #REST API #REST (Representational State Transfer) #Monitoring #Computer Science #AI (Artificial Intelligence) #Python #PyTorch #Java #"ETL (Extract #Transform #Load)" #Scala #Azure #Docker
Role description
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Software Engineering Lead β Cloud & AI (Financial Services)
Location: Charlotte, NC
Pay: $65/hr W2 ONLY, NO C2C
Duration: 6 Months
Job Summary:
We are seeking a highly experienced Software Engineering Lead with deep expertise in Cloud, AI/ML, and large-scale financial systems. In this role, you will lead backend development efforts, collaborate with data scientists to deploy and scale machine learning models, and mentor a team of engineers while driving the adoption of modern MLOps and cloud-native practices.
Key Responsibilities:
β’ Lead backend system design and development using Python and Java
β’ Architect and implement AI/ML pipelines, including model training and inference services
β’ Collaborate with Data Scientists to productionize models with performance and scalability in mind
β’ Mentor engineers on AI integration, clean code, and software architecture best practices
β’ Drive MLOps adoption: model versioning, CI/CD for ML, monitoring, and automation
β’ Work cross-functionally to transform business requirements into AI-enabled solutions
β’ Stay current with the latest AI/ML innovations and assess their fit for enterprise use
Required Qualifications:
β’ Bachelor's or Masterβs degree in Computer Science, Engineering, or a related field
β’ 8+ years of software engineering experience, with 3+ years in a leadership role
β’ Strong programming skills in Python and Java
β’ Proven experience building scalable backend systems
β’ Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
β’ Experience deploying ML models to production (REST APIs, batch jobs, etc.)
β’ Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
β’ Solid grasp of data structures, algorithms, and modern software architecture