We are looking for a highly skilled and experiencedSenior MLOps Engineer to join our team. This role will be involvedin designing, implementing, and maintaining robust and scalablemachine learning pipelines. This person will possess a strongbackground in DevOps practices, machine learning principles, andcloud computing platforms. You will work closely with datascientists and software engineers to streamline the deployment andmonitoring of machine learning models, ensuring efficiency andreliability in ML operations. We hire based on personality,potential, and enthusiasm to make a difference, then we give youthe tools and skills you need to follow your own path. You’llbenefit by gaining exposure to a wide range of tools andtechnologies that you can then put into practice and becomecertified on various Cloud (and related) technologies that willhelp you to develop your own toolkit. Requirements SoftwareEngineering: • Proficiency in programming languages used in ML,such as Python/Java. • Knowledge of software development bestpractices and methodologies. • Experience with version controlsystems (e.g., Git). • Familiarity with CI/CD tools and practices.• Strong problem-solving and analytical skills. • Understanding ofdata structures and algorithms. • Ability to design and developscalable, efficient, and maintainable software systems. •Experience with microservice architecture, API development. MachineLearning (ML): • Deep understanding of machine learning principles,algorithms, and techniques. • Experience with popular ML frameworksand libraries like TensorFlow, PyTorch, scikit-learn, or ApacheSpark. • Proficiency in data preprocessing, feature engineering,and model evaluation. • Knowledge of ML model deployment andserving strategies, including containerization and microservices. •Familiarity with ML lifecycle management, including versioning,tracking, and model monitoring. • Ability to optimize and fine-tuneML models for performance and accuracy. • Understanding ofstatistical analysis and experimental design. • Proficiency in datavisualization and interpretation of ML results. JobResponsibilities • Proven experience as an MLOps Engineer or in asimilar role, with an excellent understanding of AI/ML lifecyclemanagement. • Strong experience deploying and productionizing MLmodels. • Familiarity with data engineering concepts, includingdata pipelines, ETL processes, and big data technologies. •Excellent problem-solving skills and the ability to troubleshootcomplex issues in AI/ML systems. Technical Insight • Skills withMLOps concepts and principles. • Experience with cloud platforms(e.g., AWS, Google Cloud, Azure) and containerization tools (e.g.,Docker, Kubernetes). • Proficiency in programming languages such asPython, experience with AI/ML frameworks (e.g., TensorFlow,PyTorch), and experience with MLOps frameworks/tools (e.g.Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow,Seldon, EvidentlyAI). What We Offer Culture of Caring: AtGlobalLogic, we prioritize a culture of caring. Across every regionand department, at every level, we consistently put people first.From day one, you’ll experience an inclusive culture of acceptanceand belonging, where you’ll have the chance to build meaningfulconnections with collaborative teammates, supportive managers, andcompassionate leaders. Learning and Development: We are committedto your continuous learning and development. You’ll learn and growdaily in an environment with many opportunities to try new things,sharpen your skills, and advance your career at GlobalLogic. Withour Career Navigator tool as just one example, GlobalLogic offers arich array of programs, training curricula, and hands-onopportunities to grow personally and professionally. Interesting& Meaningful Work: GlobalLogic is known for engineering impactfor and with clients around the world. As part of our team, you’llhave the chance to work on projects that matter. Each is a uniqueopportunity to engage your curiosity and creative problem-solvingskills as you help clients reimagine what’s possible and bring newsolutions to market. In the process, you’ll have the privilege ofworking on some of the most cutting-edge and impactful solutionsshaping the world today. Balance and Flexibility: We believe in theimportance of balance and flexibility. With many functional careerareas, roles, and work arrangements, you can explore ways ofachieving the perfect balance between your work and life. Your lifeextends beyond the office, and we always do our best to help youintegrate and balance the best of work and life, having fun alongthe way! High-Trust Organization: We are a high-trust organizationwhere integrity is key. By joining GlobalLogic, you’re placing yourtrust in a safe, reliable, and ethical global company. Integrityand trust are a cornerstone of our value proposition to ouremployees and clients. You will find truthfulness, candor, andintegrity in everything we do. About GlobalLogic GlobalLogic, aHitachi Group Company, is a trusted digital engineering partner tothe world’s largest and most forward-thinking companies. Since2000, we’ve been at the forefront of the digital revolution –helping create some of the most innovative and widely used digitalproducts and experiences. Today we continue to collaborate withclients in transforming businesses and redefining industriesthrough intelligent products, platforms, and services. Apply NowFirst name * Last name * Email * Phone Gender * The genderinformation on this form helps us understand the makeup of ourapplicant pool in this key area, and to continuously improve ourefforts to make our workforce more inclusive. Select Country * CityMessage Upload Resume / Share LinkedIn Profile * Drag and drop yourfile here or click here to upload. Only .docx, .rtf, .pdf formatsallowed to a max size of 5 MB. Alternately you can include yourLinkedin profile. I want to be considered for future open positionswithin the GlobalLogic group. Your data will be kept inGlobalLogic’s database for 3 years. You can withdraw your consentat any time by contacting . You can findmore information about how GlobalLogic processes your personal dataand what your rights are in the Recruitment Privacy Notice.#J-18808-Ljbffr
