AgileGrid Solutions
Machine Learning Engineer
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About The Company
Vermelo RPO is a leading recruitment process outsourcing provider dedicated to delivering innovative talent acquisition solutions to organizations across various industries. With a strong focus on leveraging cutting-edge technology and data-driven strategies, Vermelo RPO helps companies optimize their recruitment processes, improve candidate quality, and reduce time-to-hire. Our commitment to excellence and client satisfaction has established us as a trusted partner for organizations seeking scalable and efficient recruitment solutions. At Vermelo RPO, we foster a culture of continuous improvement, innovation, and collaboration, ensuring that our clients stay ahead in competitive markets.
About The Role
We are seeking a highly skilled Machine Learning Engineer to join our dynamic team at Vermelo RPO. In this role, you will be instrumental in developing and deploying advanced machine learning models that enhance our recruitment solutions and client offerings. Your expertise will help automate and refine processes, enabling more accurate candidate matching, predictive analytics, and intelligent decision-making. The ideal candidate will have a strong background in data science and software engineering, with experience in building scalable, robust machine learning pipelines within a DevOps/MLOps environment.
This position offers an exciting opportunity to work on innovative projects that directly impact our clients’ success. You will collaborate closely with data scientists, software developers, and business stakeholders to deliver high-quality, automated solutions. Your work will contribute to the ongoing evolution of our platform, ensuring it remains at the forefront of recruitment technology and data analytics. Additionally, you will have the chance to mentor junior team members and share best practices to foster a culture of excellence within the organization.
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Qualifications
The ideal candidate should possess a strong educational background in a STEM discipline, with at least a master’s degree in data science, machine learning, artificial intelligence, or a related field. Proven experience in deploying machine learning models in production environments is essential. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud, along with experience in MLOps tools and techniques, is highly desirable. Candidates should have proficiency in programming languages such as Python, PySpark, R, or SQL, and be comfortable working with source control systems like GitHub.
Experience with containerization technologies such as Docker and Kubernetes, as well as knowledge of software development principles including SOLID and TDD, will be advantageous. Strong communication skills are necessary to articulate complex results clearly to both technical and non-technical stakeholders. A proactive, collaborative attitude and a passion for innovation are key attributes for success in this role.
Responsibilities
- Design, develop, and optimize machine learning models to improve recruitment processes and client solutions.
- Deploy and maintain scalable machine learning pipelines within a DevOps/MLOps framework, ensuring reliability and robustness.
- Collaborate with data scientists, software engineers, and business teams to translate requirements into technical solutions.
- Tune and validate machine learning models to achieve optimal performance and accuracy.
- Implement best practices in coding, including test-driven development (TDD) and adherence to SOLID principles.
- Monitor and evaluate model performance post-deployment, making improvements as necessary.
- Lead initiatives to automate manual processes and enhance system efficiencies through innovative machine learning techniques.
- Mentor junior team members, sharing knowledge and fostering a culture of continuous learning and improvement.
- Report progress, findings, and technical insights to senior stakeholders and clients.
- Stay updated with the latest developments in machine learning, AI, and cloud technologies to ensure solutions remain cutting-edge.
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Benefits
Vermelo RPO offers a comprehensive benefits package designed to support our employees' professional growth and well-being. This includes competitive salary packages, flexible working arrangements, and opportunities for continuous learning and development. Employees have access to health and wellness programs, performance-based incentives, and a collaborative work environment that values innovation and diversity. We also encourage work-life balance through flexible hours and remote working options, ensuring our team remains motivated and engaged. Additionally, employees benefit from exposure to cutting-edge technologies and projects that make a tangible impact on our clients' success.
Equal Opportunity
Vermelo RPO is committed to creating an inclusive and diverse workplace. We are proud to be an equal opportunity employer and do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that a diverse team fosters innovation and drives better outcomes for our clients and employees alike. All qualified candidates will be considered for employment without regard to any protected status, and we strive to provide a supportive environment where everyone can thrive and succeed.
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