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Through Enterprise Data, Analytics, and AI (EDAA), we’re enabling a smarter, more connected ecosystem—driven by cloud technology, automation, and intelligent data engineering.&nbsp;</p><p><strong>The Opportunity:</strong><br>We are looking for a <strong>Senior Machine Learning Engineer</strong> with strong technical expertise to design, build, and deploy scalable ML/AI solutions. In this role, you will be responsible for developing robust machine learning pipelines, optimizing model performance, and contributing to the design of ML/AI products that drive real business impact. You will collaborate closely with data scientists, product managers, and platform engineers to bring advanced ML capabilities into production.&nbsp;</p><p><strong>Key Responsibilities</strong>&nbsp;</p><ul><li>Lead and mentor a team of ML engineers, guiding technical decisions, best practices, and development processes.&nbsp;</li><li>Develop and train machine learning models, including feature engineering, model selection, hyperparameter tuning, and evaluation.&nbsp;</li><li>Drive the transition of ML models from proof-of-concept to production deployment.&nbsp;</li><li>Design, build, and maintain model deployment pipelines, including CI/CD workflows, model versioning, and automated testing.&nbsp;</li><li>Develop and maintain robust monitoring systems to track model performance, data drift, feature quality, and system health.&nbsp;</li><li>Design and develop backend services and APIs to integrate ML models with product systems and user-facing applications.&nbsp;</li><li>Apply strong MLOps principles to ensure reliability, reproducibility, and operational excellence of ML systems.&nbsp;</li><li>Collaborate with cross-functional teams (engineering, product, data, analytics) to deliver impactful, high-quality ML solutions.&nbsp;</li></ul><p><strong>Qualifications</strong>&nbsp;</p><p><strong>Required:&nbsp;</strong></p><ul><li>Master’s degree in computer science, Machine Learning, Data Science, or related field.&nbsp;</li><li>10+ years of experience in ML engineering, model development, or related technical roles.&nbsp;</li><li>Proven experience training, developing, and deploying ML models in real-world production environments.&nbsp;</li><li>Experience leading or mentoring engineering teams and driving complex ML projects to successful production deployment.&nbsp;</li><li>Strong experience with API development (e.g., FastAPI, Flask, Django) and backend service design.&nbsp;</li><li>Proficiency in Python and standard ML frameworks (Scikit-learn, TensorFlow, PyTorch).&nbsp;</li><li>Strong understanding of MLOps tools and practices, such as MLflow, Kubeflow, Airflow, Prefect, Docker, Kubernetes.&nbsp;</li><li>Experience building feature pipelines, data processing workflows, and optimizing model performance.&nbsp;</li><li>Experience with monitoring tools and performance alerting (e.g., Prometheus, Grafana, custom monitoring).&nbsp;</li><li>Preferred:&nbsp;</li><li>Experience with distributed computing frameworks (Spark, Ray, Dask).&nbsp;</li><li>Familiarity with microservices, event-driven architectures, or message queues.&nbsp;</li><li>Knowledge of cloud platforms (AWS/GCP) or platform-agnostic orchestration tools.&nbsp;</li><li>Experience working in a fast-paced, experimentation-driven environment.&nbsp;</li></ul><p><strong>McDonald’s Values:</strong><br>Our shared values create the foundation for how we work:&nbsp;</p><ul><li><strong>Serve:</strong> Customers and people come first&nbsp;</li><li><strong>Inclusion:</strong> All are welcome&nbsp;</li><li><strong>Integrity:</strong> We act with honesty&nbsp;</li><li><strong>Community:</strong> We support and uplift each other&nbsp;</li><li><strong>Family:</strong> We learn and grow together&nbsp;</li></ul><p><strong>Equal Opportunity Statement:</strong><br>McDonald’s believes in equal opportunity and a workplace where everyone belongs. We welcome candidates from all backgrounds and are committed to creating a diverse, inclusive environment where everyone can thrive.</p>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/mcdonaldsindia/sr-manager-aiml-engineering-hyderabad-T500-24180","created_at":"2026-03-09T18:43:54.055623+05:30","updated_at":"2026-05-02T14:00:05.789812+05:30","title_alias_1":"Sr. Manager, AI/ML Engineering","slug":"sr-manager-aiml-engineering-hyderabad-T500-24180","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":11,"max_experience_years":15,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-24180","external_id":35615,"external_job_code":"MCDAY004","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-03-09T15:25:32.198405+05:30","published_at":"2026-03-09T18:43:53.295608+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-24180.png","role_summary":"<p><strong>About McDonald’s:</strong><br>One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. 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