Machine Learning Subject Matter Expert
Found in: Talent MY C2 - 1 week ago
Machine Learning Subject Matter Expert (SME)
Important Information
Location: Kuala Lumpur
Experience: 5 years+ relevant experience
Job Mode: Contract
Work Mode: On-site
Responsibilities and Duties
Solution Design and Development:
Lead the design and development of machine learning models and algorithms to solve complex business problems. Work closely with cross-functional teams to understand business requirements and translate them into actionable machine learning solutions. Explore and experiment with various machine learning techniques and frameworks to optimize model performance.Data Analysis and Preparation:
Conduct thorough data analysis to identify patterns, trends, and insights that can inform the development of machine learning models. Collaborate with data engineers and data scientists to ensure the availability and quality of relevant data for model training and evaluation.Model Deployment and Integration:
Oversee the deployment of machine learning models into production systems, working closely with IT teams and ensuring seamless integration with existing applications. Monitor and maintain deployed models, addressing any issues related to performance, scalability, or accuracy.Subject Matter Expertise:
Serve as the primary source of expertise on machine learning techniques, staying abreast of the latest developments in the field and advising on their applicability to business challenges. Educate and train internal teams on machine learning concepts, tools, and best practices.Collaboration and Stakeholder Management:
Collaborate with business units to identify opportunities for applying machine learning to enhance customer experience, risk management, fraud detection, and other relevant areas. Communicate effectively with non-technical stakeholders, translating technical concepts into business implications and vice versa.Quality Assurance and Governance:
Establish and enforce best practices for machine learning model development, ensuring adherence to ethical and regulatory standards. Implement quality assurance processes to validate the accuracy, fairness, and robustness of machine learning models.Continuous Improvement:
Drive a culture of continuous improvement by evaluating the performance of deployed models, identifying areas for enhancement, and implementing iterative updates. Participate in research and development activities to explore emerging technologies and methodologies in the machine learning space.Project Management:
Manage machine learning projects from inception to completion, including resource allocation, timelines, and deliverables.About Encora
Encora is a global company that offers Software and Digital Engineering solutions, with more than 9000 Encorians around the world. Our technology practices include Cloud Services, Product Engineering & Development, Data Modernization & Engineering, Digital Experience, DevSecOps, Cybersecurity, Quality Engineering, Generative AI, among others.
At Encora Inc. we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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