648504BRIntroductionAt IBM, we believe that companies growing into the future will need to be both profitable and sustainable. The Sustainability Software group (https://ibm.biz/BdyP7g) is responsible for all of IBM’s software in supply chain, asset and manufacturing management, real estate management, and environmental intelligence. We are leveraging AI to help companies to make better decisions in these areas to support their financial and sustainability goals.Your Role and ResponsibilitiesWe are seeking a highly skilled and experienced Senior MLOps Engineer to join our dynamic team. As a Senior MLOps Engineer, you will play a critical role in developing and maintaining the infrastructure and systems necessary to support our machine learning and AI models in production. You will collaborate closely with data scientists, software engineers, and DevOps teams to ensure the successful deployment and monitoring of machine learning models. This is an excellent opportunity to apply your expertise in machine learning operations and automation to drive the success of our data-driven initiatives.Responsibilities
Design, implement, and maintain the end-to-end machine learning operational pipeline, including model development, deployment, monitoring, and maintenance.
Collaborate with data scientists, software engineers, and DevOps teams to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.
Develop and optimize workflows for model training, feature engineering, data ingestion, and preprocessing to enable efficient and reproducible machine learning processes.
Establish and enforce best practices for code quality, version control, and deployment strategies to ensure the stability and maintainability of machine learning systems.
Implement robust monitoring and alerting mechanisms to track model performance, data quality, and system health, and take proactive measures to address any issues that arise.
Work closely with cross-functional teams to identify and resolve operational challenges related to data pipelines, infrastructure, and performance tuning.
Continuously research and evaluate emerging tools, technologies, and methodologies in the MLOps space to drive innovation and improve overall efficiency.
Mentor and provide technical guidance to junior team members, promoting knowledge sharing and fostering a collaborative work environment.
Required Technical and Professional Expertise
Proven experience as an MLOps Engineer or similar role, with a minimum of 3 years of hands-on experience in deploying and managing machine learning models in production environments.
Strong proficiency in programming languages such as Python or Scala, along with experience working with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Solid understanding of cloud platforms (e.g., IBM, AWS, Azure, GCP) and experience deploying machine learning models in cloud environments.
Expertise in containerization technologies (e.g., Docker, Kubernetes) and experience with container orchestration for scalable and efficient deployment.
In-depth knowledge of DevOps practices and tools, including CI/CD pipelines, version control systems (e.g., Git), and configuration management (e.g., Ansible, Chef, Puppet).
Experience with data engineering, ETL pipelines, and distributed data processing frameworks (e.g., Apache Spark) for handling large-scale datasets.
Strong problem-solving and troubleshooting skills, with the ability to analyze complex systems and resolve issues efficiently.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and present complex ideas to both technical and non-technical stakeholders.
Preferred Technical And Professional Expertise
Solid knowledge of data engineering and data management concepts, including SQL, ETL pipelines, data fabric and data lakehouses.
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) for ML system performance tracking.
About Business UnitIBM’s Cloud and Cognitive software business is committed to bringing the power of IBM’s Cloud and Watson/AI technologies to life for our clients and ecosystem partners around the world. IBM provides you with the most comprehensive and consistent approach to development, security and operations across hybrid environments—with complete software solutions for business and IT operations, development, data science, security, and management. Our experts and software capabilities help organizations develop applications once and deploy them anywhere, integrate security across the breadth of their IT estate, and automate operations with management visibility. With IBM, you also have access to new skills and methods, governance and management approaches, and a deep ecosystem of industry experts and partners.This job requires you to be fully COVID-19 vaccinated prior to your start date and proof of vaccination status will be required before your start date. During the Onboarding process you will be asked to confirm your vaccination status, in case you are unable to get vaccinated for any reason, you can let us know at that stage. Please let us know if you are unable to be vaccinated due to medical or religious reasons. IBM will consider such requests on a case by case basis subject to submission of required proof by the candidate before a stipulated date.Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.Are you ready to be an IBMer?About IBMIBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.Location StatementWhen applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.For additional information about location requirements, please discuss with the recruiter following submission of your application.Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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