AI/ML Engineer
Posted 4 days ago by 1753785173
Negotiable
Outside
Remote
USA
Summary: The AI/ML Engineer role involves designing, building, and deploying machine learning models and AI solutions to enhance decision-making across digital platforms. The position is suited for individuals with a strong background in data science and applied machine learning. The engineer will collaborate with various teams to address business challenges and ensure the production readiness of AI systems. This role requires extensive experience in AI/ML engineering and proficiency in relevant technologies.
Key Responsibilities:
- Design and develop ML models for classification, prediction, NLP, or recommendation systems
- Implement and optimize data pipelines to support training and inference workflows
- Deploy models to production using MLOps practices and tools
- Collaborate with data scientists, engineers, and product teams to solve business challenges
- Monitor model performance, retraining, and versioning
- Conduct experiments, model tuning, and feature engineering
Key Skills:
- 10+ years of experience in AI/ML engineering or data science roles
- Proficiency in Python, with libraries like TensorFlow, PyTorch, Scikit-learn, or Transformers
- Strong experience with NLP, computer vision, or time-series forecasting
- Familiarity with MLOps tools (e.g., MLflow, SageMaker, Vertex AI, Kubeflow)
- Experience working with cloud platforms like AWS, Google Cloud Platform, or Azure
- Understanding of data pipelines, APIs, and CI/CD for model deployment
- Bachelor's or Master's in Computer Science, Data Science, or related field
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Position: AI/ML Engineer
Type: W2 Contract
We re looking for an experienced AI/ML Engineer to design, build, and deploy machine learning models and AI solutions that power intelligent decision-making across our digital platforms. This role is ideal for someone passionate about data science, applied machine learning, and production-ready AI systems.
Responsibilities:
- Design and develop ML models for classification, prediction, NLP, or recommendation systems
- Implement and optimize data pipelines to support training and inference workflows
- Deploy models to production using MLOps practices and tools
- Collaborate with data scientists, engineers, and product teams to solve business challenges
- Monitor model performance, retraining, and versioning
- Conduct experiments, model tuning, and feature engineering
Required Skills:
- 10+ years of experience in AI/ML engineering or data science roles
- Proficiency in Python, with libraries like TensorFlow, PyTorch, Scikit-learn, or Transformers
- Strong experience with NLP, computer vision, or time-series forecasting
- Familiarity with MLOps tools (e.g., MLflow, SageMaker, Vertex AI, Kubeflow)
- Experience working with cloud platforms like AWS, Google Cloud Platform, or Azure
- Understanding of data pipelines, APIs, and CI/CD for model deployment
- Bachelor s or Master s in Computer Science, Data Science, or related field