AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer on a 1099 contract, 100% remote with required travel (20%). Pay is $45.00 - $50.00 per hour. Requires a Master's degree, 5-10 years in ML, leadership experience, and proficiency in Python and ML libraries.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
400
🗓️ - Date discovered
April 20, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
1099 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Remote
🧠 - Skills detailed
#Pandas #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Docker #AWS (Amazon Web Services) #GIT #Kubernetes #NLP (Natural Language Processing) #Libraries #Data Processing #Deep Learning #Mathematics #Cloud #Computer Science #Azure #Data Science #Compliance #Airflow #Agile #Spark (Apache Spark) #Scala #HTTP & HTTPS (Hypertext Transfer Protocol & Hypertext Transfer Protocol Secure) #NumPy #TensorFlow #Apache Spark #PyTorch #ML (Machine Learning) #MLflow #Automation #Version Control #Data Engineering #Python #SageMaker #Datasets
Role description

Location: 100% Remote (Travel Required)Job Summary:

We seek a talented and motivated AI/ML Engineer to design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions. You will work closely with cross-functional teams to bring intelligent features to our products and services, leveraging data to drive insights, automation, and innovation.

Key Responsibilities:

Design, build, and deploy machine learning models and AI systems for various use cases (e.g., recommendation systems, NLP, computer vision, predictive analytics).

 Collect, clean, and preprocess large datasets for modeling and analysis.

 Collaborate with data scientists, software engineers, and product managers to define technical requirements and deliverables.

 Optimize models for performance, scalability, and efficiency in production environments.

 Implement, test, and maintain ML pipelines using modern tools and frameworks.

 Monitor model performance in production and retrain models as needed to ensure accuracy and relevance.

 Stay up-to-date with the latest research and advancements in AI/ML technologies and tools.

 Document processes, models, and systems for knowledge sharing and compliance.

Required Skills and Qualifications:Required:

Master's degree in Computer Science, Engineering, Mathematics, or a related field.

 5 to 10+ years of hands-on experience in building and deploying machine learning models.

 Over 5 years of experience leading technical teams.

 Advanced understanding of Deep Learning with applications in NLP and multimodal modeling.

 Proficient in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar.

 Experience with data processing tools (Pandas, NumPy), and working with large datasets.

 Strong understanding of algorithms, data structures, and ML techniques.

 Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying models in cloud environments.

 Knowledge of software engineering best practices, including version control (Git), CI/CD, and testing.

Preferred:

Experience with deep learning, NLP, or computer vision.

 Knowledge of MLOps tools like MLflow, Kubeflow, or SageMaker.

 Experience with containerization (Docker, Kubernetes).

 Familiarity with data engineering tools like Apache Spark or Airflow.

 Strong analytical and problem-solving skills.

 Excellent communication and teamwork abilities.

 Curiosity and a continuous learning mindset.

Other Requirement:

Video and on-site interviews (in Texas or New York) are mandatory.

 A background check is required.

 Travel is required to CST & EST (20%).

 We cannot sponsor/transfer a visa at this time.

 This position is for a 1099 contractor.

Visit Us: https://theagilepartners.com/

Job Type: Contract

Pay: $45.00 - $50.00 per hour

Work Location: Remote