Machine Learning Operations Manager - MLOps

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking for Machine Learning Operations Manager for one of our clients based in Philippines a full-time opportunity and Hybrid setup in BGC taguig. This is an exciting opportunity to expand your skill set, achieve job satisfaction and upgrade your skills. More details as below.

Job Details:

Role: Machine Learning Operations Manager

Work Location: BGC Taguig

Employment Type: Permanent

Work set: 3days onsite in Taguig

Working hours: Normal day shift 9 hours

Skills- Minimum 3+ years experience in MLOps or DevOps, Data Science

Leads the end-to-end development of data-driven solutions, from translating business needs into data science projects, to building, deploying, and monitoring predictive models in production.

Experience with Model Deployment and Management

DUTIES AND RESPONSIBILITIES:

Job Description

The Machine Learning Operations Manager role is all about leading and managing the deployment, management, maintenance and optimization of machine learning models in production environments. They are also responsible for providing guidance and mentorship to the MLOps team members in order to aid in their capability development. The MLOps Manager will also be at the forefront of collaborating with the relevant stakeholders.

DUTIES AND RESPONSIBILITIES:

The responsibilities of this position will include but will not be limited to the following:

• Team Leadership - provide mentorship, guidance and support to team members
• Strategic Planning - develop and execute MLOps strategy aligned with objectives
• Model Deployment and Management - oversee the deployment of Machine Learning models into production and ensures reliability, scalability and performance. Optimize the models to make it cost effective .
• Infrastructure knowledge - evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle
• Automation and Orchestration - develop or oversee the development of pipelines for model inference and retraining
• Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders to identify improvements in the models.
• Model Governance - guides the implementation of alerting system or dashboards for tracking the health, performance and reliability of models in production and ensures compliance with regulations, privacy policies and standards
• Continuous Improvement - drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices

KPIs:

• Model Ops efficiency
• Model Performance
• Business realization
• Cost optimization for model scoring
• Turnaround time in problem resolution

TOP 3-5 DELIVERABLES:

• MLOps strategy
• Model Deployment Process
• Automated Workflows or Pipelines
• Monitoring system or dashboards
• Team development and improvement

QUALIFICATIONS:

Work Experience

• Experience in machine learning, data science, or software engineering roles.
• Experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
• Proven track record of managing projects and leading teams.

Level of Knowledge

• Proficiency in programming languages such as Python, R, or Java.
• Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC).
• Deep knowledge on data privacy regulations and best practices in model governance and security.
• Knowledgeable on new and emerging technologies relevant to the MLOps domain

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

if you are interested and align, please share the application

CONSULTANT DETAILS

Preeti Gupta | Talent Acquisition Senior Specialist

[Confidential Information]

Reg No : R1223081

Avensys Consulting Pte Ltd

EA Licence 12C5759