Job Description
Job Description
Job Title: AI/ML Engineer
Location: Remote
We are currently seeking candidates who meet the following qualifications.
Key Responsibilities
- Develop, train, and deploy machine learning and deep learning models for classification, prediction, recommendation, NLP, or computer vision tasks.
- Work with large, structured and unstructured datasets to extract insights and prepare data for modeling.
- Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost.
- Implement models in production environments using MLOps best practices (e.g., model versioning, monitoring, CI/CD).
- Collaborate with software engineers to integrate AI/ML solutions into production applications and services.
- Perform model evaluation, A/B testing, and tuning to ensure high performance and reliability.
- Stay current with the latest research and trends in machine learning and artificial intelligence.
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
- Experience in AI/ML engineering or a related role.
- Proficient in Python and familiar with ML libraries such as TensorFlow, Keras, PyTorch, scikit-learn, and pandas.
- Solid understanding of supervised, unsupervised, and deep learning algorithms.
- Experience with cloud platforms (AWS, Azure, or GCP) and services like SageMaker, Vertex AI, or Azure ML.
- Experience with version control (Git) and containerization tools like Docker and Kubernetes.
- Strong problem-solving skills and a collaborative mindset.
- Federal Experience is a plus.
- Required Security clearance.
If you meet these qualifications, please submit your application via link provided in Linkedin.
Kindly do not call the general line to submit your application.