About the job AI/ML Engineer - (Remote)
Location: 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.
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Experience with data processing tools (Pandas, NumPy), and working with large datasets.
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Strong understanding of algorithms, data structures, and ML techniques.
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Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying models in cloud environments.
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Knowledge of software engineering best practices, including version control (Git), CI/CD, and testing.
Preferred:
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Experience with deep learning, NLP, or computer vision.
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Knowledge of MLOps tools like MLflow, Kubeflow, or SageMaker.
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Experience with containerization (Docker, Kubernetes).
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Familiarity with data engineering tools like Apache Spark or Airflow.
Strong analytical and problem-solving skills.
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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.