MLOps Engineer

Your potential, unleashed.India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.The TeamDeloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.Your work profile:As an Member of our T&T Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations:-Role OverviewWe are looking for a skilled MLOps Engineer to design, build, and maintain scalable machine learning infrastructure. The ideal candidate will work closely with data scientists, engineers, and DevOps teams to operationalize machine learning models and ensure reliable deployment, monitoring, and lifecycle management of ML systems.Key ResponsibilitiesDevelop and maintain machine learning pipelines for model training, evaluation, and deployment using Python.Implement and manage MLOps frameworks such as MLflow for experiment tracking, model registry, and lifecycle management.Deploy and monitor machine learning models in production environments.Build and maintain CI/CD pipelines for ML workflows using tools like Jenkins and cloud platforms such as AWS.Containerize ML applications using Docker and orchestrate deployments using Kubernetes.Manage model versioning and ensure reproducibility of ML experiments.Design and maintain feature stores to enable scalable feature engineering and reuse.Integrate ML systems with enterprise ML platforms such as Databricks.Implement model monitoring, performance tracking, and automated alerts for data drift, model drift, and system failures.Collaborate with cross-functional teams to translate business requirements into scalable ML solutions.Required SkillsStrong programming skills in Python.Hands-on experience with MLOps frameworks (MLflow).Experience with model deployment, monitoring, and lifecycle management.Experience building CI/CD pipelines using tools such as Jenkins, Git, or similar.Experience with cloud platforms (AWS preferred).Expertise with Docker and Kubernetes for containerization and orchestration.Understanding of model versioning, reproducibility, and experiment tracking.Experience managing feature stores for ML workflows.Experience with enterprise ML platforms like Databricks.Preferred QualificationsExperience with distributed data processing frameworks such as Spark.Familiarity with data engineering pipelines and workflow orchestration tools (Airflow, Prefect, etc.).Knowledge of ML model monitoring frameworks.Experience working in production ML environments at scale.EducationBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.Nice to HaveExperience with infrastructure as code (Terraform / CloudFormation).Knowledge of ML security and governance practices.Exposure to large-scale ML systems in enterprise environments.How you’ll growConnect for impactOur exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.Empower to leadYou can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.Inclusion for allAt Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.Drive your careerAt Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.Everyone’s welcome… entrust your happiness to usOur workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you.Interview tipsWe want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

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