JOB SUMMARY:
We are seeking an experienced AI/ML Engineer to join our team, focusing on building and deploying predictive systems within a production environment. The ideal candidate will possess a strong background in machine learning model development using Python, practical knowledge of data pipelines, and experience in crafting production-ready ML models in Microsoft Azure. Familiarity with Agile SDLC methodology is preferred. This role requires a mix of problem-solving skills, a commitment to delivery, excellent communication, and a collaborative spirit in a fast-paced team environment.
RESPONSIBILITIES AND DUTIES:
- Develop machine learning models and algorithms for various applications, including natural language processing, computer vision, and predictive analytics.
- Collaborate with cross-functional teams to gather requirements, prototype solutions, and deploy models into production.
- Preprocess and clean data, conduct feature engineering, and perform exploratory data analysis to extract insights and improve model performance.
- Evaluate and select appropriate machine learning frameworks, libraries, and tools for specific tasks and projects.
- Implement and optimize algorithms for scalability, efficiency, and accuracy, considering computational resources and constraints.
- Stay updated on the latest research, trends, and best practices in artificial intelligence and machine learning to drive innovation and continuous improvement.
- Communicate technical concepts and solutions to non-technical stakeholders, including project managers, product owners, and business leaders.
FAQs:
Q: What qualifications are required for an AI/ML engineer role?
- Typically, candidates for AI/ML engineer roles should have a bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related field. Proven experience in developing and deploying machine learning models, proficiency in programming languages such as Python or R, and a strong understanding of machine learning concepts are essential qualifications.
Q: What are the primary responsibilities of an AI/ML engineer?
- AI/ML engineers are responsible for developing machine learning models and algorithms for various applications, collaborating with cross-functional teams, pre-processing and cleaning data, evaluating and selecting appropriate machine learning frameworks, and staying updated on the latest research and trends in artificial intelligence and machine learning.
Q: What opportunities are available for AI/ML engineers?
- AI/ML engineers have the opportunity to work on cutting-edge projects in diverse industries, collaborate with top researchers and experts, and access training and development programs to enhance their skills and knowledge in AI/ML technologies and applications.