Description:
We are looking for a skilled Machine Learning/AI Engineer with a minimum of 2 years of experience in the field to join our remote team. As a Machine Learning/AI Engineer at edgeops.ai, you will play a pivotal role in developing and deploying machine learning models tailored to optimize operational processes. You will collaborate closely with cross-functional teams to design, implement, and maintain machine learning solutions that drive actionable insights and deliver tangible value to our clients.
Responsibilities:
- Develop and implement machine learning algorithms and models to solve complex operational challenges.
- develop and train object detection+ object tracking models and also can deploy these models.
- Collaborate with data scientists and software engineers to integrate machine learning capabilities into existing systems and applications.
- Conduct data analysis and pre-processing to extract meaningful insights from large datasets.
- Design and execute experiments to evaluate model performance and refine algorithms for continuous improvement.
- Optimize machine learning workflows and pipelines for scalability, efficiency, and reliability.
- Stay updated on the latest advancements in machine learning techniques and methodologies.
- Provide technical guidance and mentorship to junior team members.
- Android / iOS model deployment experience.
Requirements:
- Bachelor's degree or higher in Computer Science, Engineering, or related field.
- Minimum of 2 years of professional experience in machine learning, with a proven track record of developing and deploying machine learning models in real-world applications.
- Proficiency in programming languages such as Python, R, or Java, with experience in libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of machine learning algorithms, statistical techniques, and data structures.
- Experience with data visualization tools and techniques.
- Excellent problem-solving skills and the ability to think creatively to address complex challenges.
- Effective communication skills and the ability to collaborate in a remote team environment.