

Mindlance
AI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Washington, DC, for 5 months at a hybrid work setup. Key requirements include 8 years of IT experience, 3-4 years in AI/ML, proficiency in Python and ML frameworks, and cloud platform experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
544
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ποΈ - Date
November 5, 2025
π - Duration
3 to 6 months
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ποΈ - Location
Hybrid
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Washington DC-Baltimore Area
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π§ - Skills detailed
#AWS (Amazon Web Services) #Docker #Datasets #ML (Machine Learning) #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Generative Models #Model Optimization #Scala #Azure #Kubernetes #Python #TensorFlow #Deployment #Cloud #PyTorch #Monitoring
Role description
Role: AI/ML Engineer (Need Local or DMV)
Location: Washington, DC
Duration: 5 Months
Work Setup: Hybrid (4 days onsite per week from Day 1)
Job Description:
We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will work with large datasets, build predictive and generative models, and integrate them into scalable production applications.
Responsibilities:
β’ Minimum 8 years of overall IT experience, including 3-4 years of hands-on AI/ML development experience.
β’ Design, develop, and deploy machine learning and AI models for real-world use cases.
β’ Work with large datasets for data preprocessing, feature engineering, and model optimization.
β’ Demonstrate strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
β’ Develop and fine-tune Large Language Models (LLMs) and implement traditional ML algorithms.
β’ Utilize cloud platforms (AWS, GCP, Azure) for model training, deployment, and monitoring.
β’ Apply containerization tools like Docker and Kubernetes for scalable deployment.
β’ Collaborate with cross-functional teams to integrate ML solutions into enterprise systems.
β’ Stay current with emerging AI/ML technologies, including GPT-based agents and generative AI tools.
Role: AI/ML Engineer (Need Local or DMV)
Location: Washington, DC
Duration: 5 Months
Work Setup: Hybrid (4 days onsite per week from Day 1)
Job Description:
We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will work with large datasets, build predictive and generative models, and integrate them into scalable production applications.
Responsibilities:
β’ Minimum 8 years of overall IT experience, including 3-4 years of hands-on AI/ML development experience.
β’ Design, develop, and deploy machine learning and AI models for real-world use cases.
β’ Work with large datasets for data preprocessing, feature engineering, and model optimization.
β’ Demonstrate strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
β’ Develop and fine-tune Large Language Models (LLMs) and implement traditional ML algorithms.
β’ Utilize cloud platforms (AWS, GCP, Azure) for model training, deployment, and monitoring.
β’ Apply containerization tools like Docker and Kubernetes for scalable deployment.
β’ Collaborate with cross-functional teams to integrate ML solutions into enterprise systems.
β’ Stay current with emerging AI/ML technologies, including GPT-based agents and generative AI tools.






