Position: Machine Learning Developer

Location - North Waukegan Road North Chicago IL(Must be local )

Job Type- W2-Contract

We are seeking a skilled and motivated Machine Learning Developer to join our team. In this role, you will be instrumental in the development, training, and deployment of vision models into production environments. You will collaborate with a talented team to design and implement machine learning solutions that solve complex problems and enhance our capabilities.

Key Responsibilities

Design, develop, and train vision models to meet specific business objectives.
Deploy machine learning models to production environments efficiently and reliably.
Ensure scalability, robustness, and performance in the deployment of machine learning models.
Collaborate with cross-functional teams to understand requirements and translate them into data-driven solutions.
Integrate machine learning models with existing systems and develop APIs for model consumption.
Implement continuous integration/continuous deployment (CI/CD) pipelines to automate model training and deployment processes.
Monitor and optimize the performance of deployed models, ensuring they meet expected benchmarks.
Document the process, results, and learnings to facilitate knowledge sharing and improve future iterations.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3-5 years of experience in developing and deploying machine learning models.
Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or Keras.
Strong understanding of computer vision techniques and tools.
Experience with MLOps practices, including CI/CD, automated model testing, and monitoring.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
Effective communication skills to convey complex technical concepts to non-technical stakeholders

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