- Experience
- Any
- Salary
- USD 200,000 – USD 500,000 / year
- Openings
- 1
- Posted
- 4 ਘੰਟੇ ਪਹਿਲਾਂ
- Work mode
- Work from home
- Eligibility
- <ul><li>Open to candidates worldwide with demonstrated expertise in machine learning and AI engineering.</li></ul>
- Resume
- Required to apply
Job description
About the Role
We are seeking a Machine Learning (AI) Engineer for one of our clients in the software development industry. This position is focused on designing and deploying cutting-edge AI and machine learning models that drive the functionality of core product offerings. The role operates remotely and involves collaborating with cross-disciplinary teams to deliver robust, scalable AI solutions aimed at enhancing user experiences and streamlining business processes.
Main Responsibilities
- Develop, train, and fine-tune machine learning models using tools such as Python, TensorFlow, and PyTorch.
- Construct and maintain data processing pipelines to ensure optimal data quality and effective model training.
- Leverage MLOps methodologies to manage the deployment, versioning, and monitoring of machine learning systems.
- Work closely with data scientists and software developers to seamlessly integrate AI functionalities into mainline production environments.
- Conduct thorough validation of model performance through benchmarking, A/B experiments, and metric analysis.
Key Requirements
- Advanced programming capabilities in Python and proficiency with machine learning libraries such as TensorFlow and PyTorch.
- Experience with MLOps platforms including MLflow, Kubeflow, or SageMaker.
- Strong skills in data preparation, feature creation, and performance evaluation techniques.
- Familiarity with cloud computing environments like AWS, Google Cloud Platform, or Microsoft Azure.
- Understanding of best practices in software engineering, including the use of version control systems (e.g., Git) and automated CI/CD processes.
Additional Information
- This position offers the chance to work at the forefront of AI, solving high-impact technical challenges within a globally recognized organization.
- You'll benefit from a collaborative team culture and have access to modern development tools and comprehensive datasets.
- The company is an equal opportunity employer, evaluating candidates exclusively on their technical skills and merit, without bias towards background or employment history.