Urgent! Machine Learning +Aws+ (Eks Or Ecs Or Kubernetes) + (Redshift And Glue) +Sagemaker Job Opening In Delhi Division – Now Hiring AB InBev GCC India
Dreaming big is in our DNA.
It’s who we are as a company.
It’s our culture.
It’s our heritage.
And more than ever, it’s our future.
A future where we’re always looking forward.
Always serving up new ways to meet life’s moments.
A future where we keep dreaming bigger.
We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential.
The power we create together – when we combine your strengths with ours – is unstoppable.
Are you ready to join a team that dreams as big as you do?AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev.
The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology.
The teams are transforming Operations through Tech and Analytics.Do You Dream Big?We Need You.Job DescriptionJob Title:Senior ML EngineerLocation:Bangalore (Onsite)Reporting to:Senior Manager, AnalyticsPURPOSE OF ROLEAnheuser-Busch InBev (AB InBev)’s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights.
We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions.As a Senior MLE, you will be responsible for driving the technical backbone of the internal ML platform—from model containerization and deployment at scale to architecting backend repos and pipelines that enable integration with the software/frontend layers.
You will lead the end-to-end ML engineering lifecycle for edge deployments, ensuring high availability, observability, and scalability of the platform across 100+ brewery deployments globally.KEY TASKS AND ACCOUNTABILITIESOwn the backend engineering strategy for the platform, ensuring repos, pipelines, and modular components are structured for scalable integration with software applications and visualization layersLead the entire edge deployment lifecycle, from model training to deployment and monitoring on edge devicesDevelop, and maintain a scalable Edge ML pipeline that enables real-time analytics at brewery sitesOptimize and containerize models using Portainer, Docker, and Azure Container Registry (ACR) to ensure efficient execution in constrained edge environments.Own and manage the GitHub repository, ensuring structured, well-documented, and modularized code for seamless deploymentsEstablish robust CI/CD pipelines for continuous integration and deployment of models and servicesImplement observability layers for data, feature, inference, and pipeline health (e.G., logging, monitoring, alerting), ensuring reliable and quick feedback loopsEnsure compliance with security and governance best practices for data and model deployment in edge environmentsCollaborate with product and software teams to ensure backend architecture seamlessly integrates with frontend and operator-facing toolsMentor other team members and set technical standards and review processes for high-quality, scalable, and secure code deliveryYou will also develop internal tools/utils that improve productivity of entire team.QUALIFICATIONS, EXPERIENCE, SKILLSEducation:Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline.Experience:5+ years of experience developing scalable and high-quality ML models and backend ML engineering infrastructure.Strong problem-solving skills with an owner’s mindset—proactively identifying and resolving bottlenecksTechnical/Functional Skills:Mandatory Skills:Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow) - ExpertGitHub, Docker, CI/CD Pipelines – ExpertML Model Design & Deployment– ExpertModel Deployment – ExpertAzure Cloud Architecture for ML– AdvancedContainerization & Edge Deployment (Portainer, Kubernetes, ACR) – AdvancedObservability (Logging, Monitoring, Alerting) – IntermediateDatabricks (Workflows, Cluster Creation, Repo Management) – IntermediateUnit Testing – IntermediatePreferred (Good to have) Skills:DevSecOps & Automation – IntermediateComputer Vision / Edge Vision Deployments – BeginnerMulti-repo or Monorepo ML Architecture – IntermediateReal-time Analytics & Edge AI Deployments – IntermediateOpen-source ML Tooling Contributions – BeginnerBehavioral Skills:You take full ownership of your projects & understand end-to-end expectations.You demonstrate thought leadership at work, assert ideas & influence overall direction of solutions.Collaborate with team members, share selflessly & improve the quality of code, models etc.Ability to simplify communicating the output of your work for business, create compelling documentation or any artifacts that connects business to the solutions.A drive to build platforms that power real business impact at scaleAnd above all of this, an undying love for beer!We dream big to create future with more cheers .
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Delhi Division, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Delhi Division, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19852 jobs in India and 755 jobs in Delhi Division. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! AB InBev GCC India is currently hiring and seeking a Machine Learning +Aws+ (Eks Or Ecs Or Kubernetes) + (Redshift And Glue) +Sagemaker to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning +Aws+ (Eks Or Ecs Or Kubernetes) + (Redshift And Glue) +Sagemaker Jobs Delhi Division.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AB InBev GCC India adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning +Aws+ (Eks Or Ecs Or Kubernetes) + (Redshift And Glue) +Sagemaker Jobs India varies, but the pay scale is rated "Standard" in Delhi Division. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning +Aws+ (Eks Or Ecs Or Kubernetes) + (Redshift And Glue) +Sagemaker typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning +Aws+ (Eks Or Ecs Or Kubernetes) + (Redshift And Glue) +Sagemaker interview at AB InBev GCC India, research the company, understand the job requirements, and practice common interview questions.
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