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Software Architect - MLOps Careers at Sysco - Sri Lanka | Apply Now!

Sysco

Software Architect - MLOps Careers at Sysco - Sri Lanka | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

Software Architect - MLOps at Sysco LABS Sri Lanka

Are you a seasoned software architect with a passion for Machine Learning Operations (MLOps)? Do you thrive in a fast-paced, innovative environment? Sysco LABS Sri Lanka is seeking a talented and experienced Software Architect - MLOps to join our growing team. As a global leader in the foodservice industry, Sysco relies on cutting-edge technology to power its end-to-end operations. This role offers the opportunity to shape the future of MLOps at Sysco, ensuring that our machine learning and AI models are developed, deployed, and managed in a secure, compliant, and efficient manner.

Role Overview

As the Software Architect - MLOps, you will be responsible for defining the MLOps platform, tools, processes, and operational controls that support the entire model lifecycle. You will work closely with Data Platform Engineering to lead CI/CD automation and model lifecycle governance. Furthermore, you will lead the Communities of Practice (COPs) for Data Scientists and MLOps Engineers, fostering standardization, scalability, and innovation across the enterprise.

This is a leadership role that requires a strong technical background, excellent communication skills, and the ability to collaborate with cross-functional teams. You will play a critical role in driving the adoption of MLOps best practices and ensuring that our machine learning initiatives deliver maximum value to the business.

A Day in the Life

Here's a glimpse into what a typical day might look like for the Software Architect - MLOps:

  • Morning: Begin the day by reviewing the performance of existing machine learning models and identifying any areas for improvement. Participate in a stand-up meeting with the MLOps team to discuss priorities and address any roadblocks.
  • Mid-day: Meet with Data Scientists to understand their model development needs and provide guidance on MLOps best practices. Collaborate with Data Platform Engineering to refine CI/CD pipelines and improve model deployment automation.
  • Afternoon: Lead a Community of Practice (COP) session for MLOps Engineers, sharing updates on new tools and technologies and fostering knowledge sharing. Work on the MLOps roadmap, prioritizing initiatives based on business needs and technical feasibility.
  • Late Afternoon: Evaluate new MLOps tools and technologies, conducting proof-of-concept (POC) testing to assess their suitability for the Sysco environment. Prepare a presentation for senior management on the progress of the MLOps program.

Why Colombo, Sri Lanka?

Sysco LABS Sri Lanka is located in Colombo, a vibrant and growing city that offers a high quality of life. Colombo is a hub for technology and innovation, with a thriving community of software engineers and data scientists. The city offers a rich cultural experience, with beautiful beaches, historical sites, and delicious cuisine. Working at Sysco LABS in Colombo provides the opportunity to be part of a global team while enjoying the benefits of living in a dynamic and affordable city.

Career Path

The Software Architect - MLOps role offers a clear path for career advancement within Sysco. You could potentially move into roles such as:

  • Principal Architect: Lead the architecture for a broader range of systems and technologies.
  • Director of Engineering: Manage a team of engineers and oversee the development of multiple projects.
  • VP of Technology: Lead the technology strategy for a specific business unit or function.

Sysco is committed to providing its employees with opportunities for growth and development. We offer a variety of training programs and resources to help you advance your career.

Salary and Benefits

The estimated salary range for the Software Architect - MLOps role in Colombo, Sri Lanka is between $120,000 and $180,000 USD per year. The actual salary will be commensurate with experience and qualifications. Sysco also offers a comprehensive benefits package, including:

  • Health insurance (medical, dental, vision)
  • Paid time off (vacation, sick leave, holidays)
  • Retirement plan (401k or equivalent) with company match
  • Employee stock purchase plan
  • Life insurance and disability coverage
  • Flexible spending accounts (FSA)
  • Health savings accounts (HSA)
  • Wellness programs
  • Employee assistance program (EAP)
  • Professional development opportunities
  • Tuition reimbursement
  • Employee discounts on Sysco products and services

Sysco Culture

Sysco is a company that values its employees. We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe in teamwork, collaboration, and innovation. We encourage our employees to take ownership of their work and to make a difference in the business. Sysco is a great place to work if you are looking for a challenging and rewarding career.

How to Apply

If you are interested in applying for the Software Architect - MLOps role at Sysco LABS Sri Lanka, please submit your resume and cover letter through our online application portal. Be sure to highlight your experience with MLOps, data science, and cloud computing. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

  1. What is MLOps? MLOps is a set of practices that aims to automate and streamline the machine learning lifecycle, from development to deployment and monitoring.
  2. What are the key benefits of MLOps? MLOps helps to improve the speed, reliability, and scalability of machine learning deployments. It also helps to ensure compliance with data governance and security policies.
  3. What tools and technologies are used in MLOps? Common MLOps tools and technologies include Docker, Kubernetes, MLflow, TensorFlow, PyTorch, and cloud-based ML platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform).
  4. What is CI/CD in the context of MLOps? CI/CD (Continuous Integration/Continuous Delivery) is a set of practices that automates the process of building, testing, and deploying machine learning models.
  5. What is model lifecycle management? Model lifecycle management is the process of managing the entire lifecycle of a machine learning model, from development to deployment, monitoring, and retraining.
  6. What is data governance? Data governance is the process of managing the quality, security, and availability of data.
  7. What is data security? Data security is the process of protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction.
  8. What is a Community of Practice (COP)? A Community of Practice (COP) is a group of people who share a common interest or expertise and who learn from each other through regular interaction.
  9. What are the qualifications for the Software Architect - MLOps role? The ideal candidate will have a Bachelor's degree in Computer Science, Data Science, or a related field, 10+ years of experience in software engineering with a focus on machine learning and data science, and 5+ years of experience in building and managing MLOps platforms.
  10. What are the responsibilities of the Software Architect - MLOps role? The Software Architect - MLOps is responsible for leading the strategy, design, and operation of the enterprise MLOps platform, defining the MLOps platform, tools, processes, and operational controls, and leading the Communities of Practice (COPs) for Data Scientists and MLOps Engineers.

Locations

  • Colombo, Western Province, Sri Lanka

Salary

Estimated Salary Rangemedium confidence

132,000 - 198,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Operations (MLOps)intermediate
  • Data Scienceintermediate
  • Artificial Intelligence (AI)intermediate
  • Model Lifecycle Managementintermediate
  • CI/CD Automationintermediate
  • Data Platform Engineeringintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • DevOpsintermediate
  • Kubernetesintermediate
  • Dockerintermediate
  • Pythonintermediate
  • MLflowintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Data Governanceintermediate
  • Data Securityintermediate
  • Agile Methodologiesintermediate
  • Strategic Planningintermediate
  • Leadershipintermediate
  • Communicationintermediate
  • Collaborationintermediate
  • Problem-solvingintermediate
  • Mentoringintermediate
  • Community Buildingintermediate
  • Innovationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree preferred. (experience)
  • 10+ years of experience in software engineering with a focus on machine learning and data science. (experience)
  • 5+ years of experience in building and managing MLOps platforms. (experience)
  • Deep understanding of machine learning algorithms, model development, and deployment pipelines. (experience)
  • Experience with cloud-based ML platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform). (experience)
  • Proficiency in programming languages such as Python, R, and Java. (experience)
  • Experience with containerization technologies such as Docker and Kubernetes. (experience)
  • Strong knowledge of DevOps principles and practices. (experience)
  • Experience with CI/CD tools and automation frameworks. (experience)
  • Excellent communication and collaboration skills. (experience)
  • Ability to lead and mentor a team of engineers and data scientists. (experience)
  • Strong problem-solving and analytical skills. (experience)
  • Experience with data governance and security best practices. (experience)
  • Familiarity with regulatory compliance requirements (e.g., GDPR, CCPA). (experience)

Responsibilities

  • Lead the strategy, design, and operation of the enterprise MLOps platform.
  • Define the MLOps platform, tools, processes, and operational controls that support end-to-end model lifecycle management.
  • Partner closely with Data Platform Engineering to lead CI/CD automation and model lifecycle governance.
  • Lead the Communities of Practice (COPs) for Data Scientists and MLOps Engineers to ensure standardization, scalability, and innovation.
  • Develop and maintain the MLOps roadmap, aligning with the enterprise's AI and ML strategy.
  • Establish and enforce MLOps standards and best practices across the organization.
  • Design and implement scalable and secure MLOps infrastructure.
  • Evaluate and select MLOps tools and technologies.
  • Automate the model deployment and monitoring process.
  • Ensure compliance with data governance and security policies.
  • Provide technical guidance and mentorship to data scientists and MLOps engineers.
  • Collaborate with cross-functional teams to deliver ML-powered solutions.
  • Stay up-to-date with the latest MLOps trends and technologies.
  • Drive innovation in MLOps practices and tooling.

Benefits

  • general: Competitive salary and benefits package.
  • general: Health insurance (medical, dental, vision).
  • general: Paid time off (vacation, sick leave, holidays).
  • general: Retirement plan (401k or equivalent) with company match.
  • general: Employee stock purchase plan.
  • general: Life insurance and disability coverage.
  • general: Flexible spending accounts (FSA).
  • general: Health savings accounts (HSA).
  • general: Wellness programs.
  • general: Employee assistance program (EAP).
  • general: Professional development opportunities.
  • general: Tuition reimbursement.
  • general: Relocation assistance (if applicable).
  • general: Employee discounts on Sysco products and services.
  • general: Opportunities for advancement within the company.
  • general: A supportive and collaborative work environment.
  • general: The chance to work on cutting-edge technology and make a real impact on the business.

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Tags & Categories

Software ArchitectMLOpsData ScienceArtificial IntelligenceCloud ComputingColomboSri LankaMachine Learning OperationsAIModel Lifecycle ManagementCI/CD AutomationData Platform EngineeringAWSAzureGCPDevOpsKubernetesDockerPythonMLflowTensorFlowPyTorchData GovernanceData SecuritySysco LABSFoodserviceTechnologyInnovationFood ServiceSupply ChainSalesLogistics

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Sysco logo

Software Architect - MLOps Careers at Sysco - Sri Lanka | Apply Now!

Sysco

Software Architect - MLOps Careers at Sysco - Sri Lanka | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

Software Architect - MLOps at Sysco LABS Sri Lanka

Are you a seasoned software architect with a passion for Machine Learning Operations (MLOps)? Do you thrive in a fast-paced, innovative environment? Sysco LABS Sri Lanka is seeking a talented and experienced Software Architect - MLOps to join our growing team. As a global leader in the foodservice industry, Sysco relies on cutting-edge technology to power its end-to-end operations. This role offers the opportunity to shape the future of MLOps at Sysco, ensuring that our machine learning and AI models are developed, deployed, and managed in a secure, compliant, and efficient manner.

Role Overview

As the Software Architect - MLOps, you will be responsible for defining the MLOps platform, tools, processes, and operational controls that support the entire model lifecycle. You will work closely with Data Platform Engineering to lead CI/CD automation and model lifecycle governance. Furthermore, you will lead the Communities of Practice (COPs) for Data Scientists and MLOps Engineers, fostering standardization, scalability, and innovation across the enterprise.

This is a leadership role that requires a strong technical background, excellent communication skills, and the ability to collaborate with cross-functional teams. You will play a critical role in driving the adoption of MLOps best practices and ensuring that our machine learning initiatives deliver maximum value to the business.

A Day in the Life

Here's a glimpse into what a typical day might look like for the Software Architect - MLOps:

  • Morning: Begin the day by reviewing the performance of existing machine learning models and identifying any areas for improvement. Participate in a stand-up meeting with the MLOps team to discuss priorities and address any roadblocks.
  • Mid-day: Meet with Data Scientists to understand their model development needs and provide guidance on MLOps best practices. Collaborate with Data Platform Engineering to refine CI/CD pipelines and improve model deployment automation.
  • Afternoon: Lead a Community of Practice (COP) session for MLOps Engineers, sharing updates on new tools and technologies and fostering knowledge sharing. Work on the MLOps roadmap, prioritizing initiatives based on business needs and technical feasibility.
  • Late Afternoon: Evaluate new MLOps tools and technologies, conducting proof-of-concept (POC) testing to assess their suitability for the Sysco environment. Prepare a presentation for senior management on the progress of the MLOps program.

Why Colombo, Sri Lanka?

Sysco LABS Sri Lanka is located in Colombo, a vibrant and growing city that offers a high quality of life. Colombo is a hub for technology and innovation, with a thriving community of software engineers and data scientists. The city offers a rich cultural experience, with beautiful beaches, historical sites, and delicious cuisine. Working at Sysco LABS in Colombo provides the opportunity to be part of a global team while enjoying the benefits of living in a dynamic and affordable city.

Career Path

The Software Architect - MLOps role offers a clear path for career advancement within Sysco. You could potentially move into roles such as:

  • Principal Architect: Lead the architecture for a broader range of systems and technologies.
  • Director of Engineering: Manage a team of engineers and oversee the development of multiple projects.
  • VP of Technology: Lead the technology strategy for a specific business unit or function.

Sysco is committed to providing its employees with opportunities for growth and development. We offer a variety of training programs and resources to help you advance your career.

Salary and Benefits

The estimated salary range for the Software Architect - MLOps role in Colombo, Sri Lanka is between $120,000 and $180,000 USD per year. The actual salary will be commensurate with experience and qualifications. Sysco also offers a comprehensive benefits package, including:

  • Health insurance (medical, dental, vision)
  • Paid time off (vacation, sick leave, holidays)
  • Retirement plan (401k or equivalent) with company match
  • Employee stock purchase plan
  • Life insurance and disability coverage
  • Flexible spending accounts (FSA)
  • Health savings accounts (HSA)
  • Wellness programs
  • Employee assistance program (EAP)
  • Professional development opportunities
  • Tuition reimbursement
  • Employee discounts on Sysco products and services

Sysco Culture

Sysco is a company that values its employees. We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe in teamwork, collaboration, and innovation. We encourage our employees to take ownership of their work and to make a difference in the business. Sysco is a great place to work if you are looking for a challenging and rewarding career.

How to Apply

If you are interested in applying for the Software Architect - MLOps role at Sysco LABS Sri Lanka, please submit your resume and cover letter through our online application portal. Be sure to highlight your experience with MLOps, data science, and cloud computing. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

  1. What is MLOps? MLOps is a set of practices that aims to automate and streamline the machine learning lifecycle, from development to deployment and monitoring.
  2. What are the key benefits of MLOps? MLOps helps to improve the speed, reliability, and scalability of machine learning deployments. It also helps to ensure compliance with data governance and security policies.
  3. What tools and technologies are used in MLOps? Common MLOps tools and technologies include Docker, Kubernetes, MLflow, TensorFlow, PyTorch, and cloud-based ML platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform).
  4. What is CI/CD in the context of MLOps? CI/CD (Continuous Integration/Continuous Delivery) is a set of practices that automates the process of building, testing, and deploying machine learning models.
  5. What is model lifecycle management? Model lifecycle management is the process of managing the entire lifecycle of a machine learning model, from development to deployment, monitoring, and retraining.
  6. What is data governance? Data governance is the process of managing the quality, security, and availability of data.
  7. What is data security? Data security is the process of protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction.
  8. What is a Community of Practice (COP)? A Community of Practice (COP) is a group of people who share a common interest or expertise and who learn from each other through regular interaction.
  9. What are the qualifications for the Software Architect - MLOps role? The ideal candidate will have a Bachelor's degree in Computer Science, Data Science, or a related field, 10+ years of experience in software engineering with a focus on machine learning and data science, and 5+ years of experience in building and managing MLOps platforms.
  10. What are the responsibilities of the Software Architect - MLOps role? The Software Architect - MLOps is responsible for leading the strategy, design, and operation of the enterprise MLOps platform, defining the MLOps platform, tools, processes, and operational controls, and leading the Communities of Practice (COPs) for Data Scientists and MLOps Engineers.

Locations

  • Colombo, Western Province, Sri Lanka

Salary

Estimated Salary Rangemedium confidence

132,000 - 198,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Operations (MLOps)intermediate
  • Data Scienceintermediate
  • Artificial Intelligence (AI)intermediate
  • Model Lifecycle Managementintermediate
  • CI/CD Automationintermediate
  • Data Platform Engineeringintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • DevOpsintermediate
  • Kubernetesintermediate
  • Dockerintermediate
  • Pythonintermediate
  • MLflowintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Data Governanceintermediate
  • Data Securityintermediate
  • Agile Methodologiesintermediate
  • Strategic Planningintermediate
  • Leadershipintermediate
  • Communicationintermediate
  • Collaborationintermediate
  • Problem-solvingintermediate
  • Mentoringintermediate
  • Community Buildingintermediate
  • Innovationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree preferred. (experience)
  • 10+ years of experience in software engineering with a focus on machine learning and data science. (experience)
  • 5+ years of experience in building and managing MLOps platforms. (experience)
  • Deep understanding of machine learning algorithms, model development, and deployment pipelines. (experience)
  • Experience with cloud-based ML platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform). (experience)
  • Proficiency in programming languages such as Python, R, and Java. (experience)
  • Experience with containerization technologies such as Docker and Kubernetes. (experience)
  • Strong knowledge of DevOps principles and practices. (experience)
  • Experience with CI/CD tools and automation frameworks. (experience)
  • Excellent communication and collaboration skills. (experience)
  • Ability to lead and mentor a team of engineers and data scientists. (experience)
  • Strong problem-solving and analytical skills. (experience)
  • Experience with data governance and security best practices. (experience)
  • Familiarity with regulatory compliance requirements (e.g., GDPR, CCPA). (experience)

Responsibilities

  • Lead the strategy, design, and operation of the enterprise MLOps platform.
  • Define the MLOps platform, tools, processes, and operational controls that support end-to-end model lifecycle management.
  • Partner closely with Data Platform Engineering to lead CI/CD automation and model lifecycle governance.
  • Lead the Communities of Practice (COPs) for Data Scientists and MLOps Engineers to ensure standardization, scalability, and innovation.
  • Develop and maintain the MLOps roadmap, aligning with the enterprise's AI and ML strategy.
  • Establish and enforce MLOps standards and best practices across the organization.
  • Design and implement scalable and secure MLOps infrastructure.
  • Evaluate and select MLOps tools and technologies.
  • Automate the model deployment and monitoring process.
  • Ensure compliance with data governance and security policies.
  • Provide technical guidance and mentorship to data scientists and MLOps engineers.
  • Collaborate with cross-functional teams to deliver ML-powered solutions.
  • Stay up-to-date with the latest MLOps trends and technologies.
  • Drive innovation in MLOps practices and tooling.

Benefits

  • general: Competitive salary and benefits package.
  • general: Health insurance (medical, dental, vision).
  • general: Paid time off (vacation, sick leave, holidays).
  • general: Retirement plan (401k or equivalent) with company match.
  • general: Employee stock purchase plan.
  • general: Life insurance and disability coverage.
  • general: Flexible spending accounts (FSA).
  • general: Health savings accounts (HSA).
  • general: Wellness programs.
  • general: Employee assistance program (EAP).
  • general: Professional development opportunities.
  • general: Tuition reimbursement.
  • general: Relocation assistance (if applicable).
  • general: Employee discounts on Sysco products and services.
  • general: Opportunities for advancement within the company.
  • general: A supportive and collaborative work environment.
  • general: The chance to work on cutting-edge technology and make a real impact on the business.

Target Your Resume for "Software Architect - MLOps Careers at Sysco - Sri Lanka | Apply Now!" , Sysco

Get personalized recommendations to optimize your resume specifically for Software Architect - MLOps Careers at Sysco - Sri Lanka | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Architect - MLOps Careers at Sysco - Sri Lanka | Apply Now!" , Sysco

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software ArchitectMLOpsData ScienceArtificial IntelligenceCloud ComputingColomboSri LankaMachine Learning OperationsAIModel Lifecycle ManagementCI/CD AutomationData Platform EngineeringAWSAzureGCPDevOpsKubernetesDockerPythonMLflowTensorFlowPyTorchData GovernanceData SecuritySysco LABSFoodserviceTechnologyInnovationFood ServiceSupply ChainSalesLogistics

Answer 10 quick questions to check your fit for Software Architect - MLOps Careers at Sysco - Sri Lanka | Apply Now! @ Sysco.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.