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AI/ML Technology Strategist
2 weeks ago
At Iconic IT Consulting Services, we offer a dynamic and innovative work environment that allows our employees to grow and develop their skills. As an AI/ML engineer, you will have the opportunity to work on real-world AI/ML projects and collaborate with our engineering and leadership teams to deliver high-quality solutions. We also offer flexible working arrangements, including remote work options, to ensure that our employees can balance their work and personal life. If you are passionate about AI/ML and want to be part of a high-impact project, we encourage you to apply for this role.
About the Role:
This is a 3-month remote position that offers an exciting opportunity to work on real-world AI/ML projects. You will be responsible for analyzing and explaining AI/ML solutions while upholding ethical standards. Your expertise will be essential in developing and optimizing predictive models and machine learning algorithms. Additionally, you will process, cleanse, and validate structured and unstructured data for analysis. Collaborating with our engineering and leadership teams will be a significant aspect of this role, as you will work together to design, prototype, and deploy AI/ML solutions. Furthermore, you will provide strategic advice on AI/ML technology strategy and policy.
Key Responsibilities:
- Analyze and explain AI/ML solutions.
- Develop and optimize predictive models and machine learning algorithms.
- Process, cleanse, and validate structured and unstructured data.
- Collaborate with engineering and leadership teams.
- Offer strategic advice on AI/ML technology strategy and policy.
Required Skills and Qualifications:
To be successful in this role, you must have a strong background in AI/ML technologies. This includes experience in applying AI to real-world technology solutions, proficiency in Python, R, SQL, and statistical techniques, and expertise in machine learning methods such as kNN, SVM, Decision Forests, etc. A bachelor's or master's degree in Computer Science, Engineering, Mathematics, or Statistics is also required. Additionally, you should have hands-on experience with MLOps, NLP, cloud computing, and deployment (AWS, Google Cloud, Azure). Familiarity with Docker, Kubernetes, and synthetic data generation is also beneficial.
Benefits:
- Work remotely from anywhere.
- Be part of a high-impact project with a leading client.
- Enhance your skills in a dynamic and innovative environment.
