BD Strategist

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Company Profile -  https://kpmg.com/in/en/home.html

Job Description

Position: US Tax Content Subject Matter Expert (SME)

Overview:

We are seeking experienced US Tax Content SMEs to join our expanding US Tax Content team in Bangalore, India. This role is pivotal in understanding, configuring, and testing annual US tax updates, focusing on Tax Form Graphic development, and tax product-specific feature enhancements.

Education Qualification: US CPA/post-graduate.

Experience:  1-2 and 3-4 years in US tax (corporate, partnership, fiduciary sectors). Interest in Canadian tax is a plus.

Technical Skills: Understanding of US tax law and comfort with technology. Experience with tax tools like CCH, Lacerte, TurboTax, etc. is advantageous.

Location:  Bangalore

Employment Type:  Contract basis

Responsibilities:

• Support in identifying and documenting the US tax updates
• Configure and test annual tax updates in tax tools
• Support in developing and updating visual representations of tax forms
• Support in implementation of implement changes to barcode systems for efficient data capture.
• Understand changes to forms/instructions, make changes in the software, then test and release the software.
• Supporting in enhancing and adding new features to the tax softwareUSA 

Required Skills for this Role:

 Strong experience with full-stack Javascript framework, Mongo DB,Express,

React.JS, Node JS.

 Must have worked with creation of deeplinks for mobile apps

 Must be well experienced in AWS, especially elastic bean in AWS

 Must have worked with push notifications service

 Must know socket programming

 Self-motivated with the ability to work independently or jointly in a self-directed

way.

 Demonstrated successful development of enterprise-grade web applications

 Proven analytical and problem-solving capabilities

 Comfortable leading product development

 Strong work ethic and desire to build industry-leading products

Also Nice to Have Skills and Background:

 Startup experience

 Worked on product development

Job Description-

Responsibilities:

- Create blueprints for application deployment, build Terraform modules for infrastructure provisioning, and enhance security with automation tools like Harness and Flux.

- Work with cutting-edge CI/CD tooling and orchestrate deployment using AWS, Azure, Docker Swarm, and Kubernetes.

-Architect and deploy CI/CD platforms to facilitate rapid development and deployment cycles.

- Design and implement Kubernetes environments, API Gateways, and self-service portals.

- Evaluate and integrate third-party tools and services for improved CI/CD processes.

- Educate and lead a team of DevOps engineers in best practices and operational excellence.

- Employ SonarCloud for continuous code quality checks and JMeter for application performance testing.

Qualifications:

- 7+ years of experience with architecting and deploying applications on AWS or Microsoft Azure.

- Proficiency with CI/CD tooling such as GitHub, GitLab, Jenkins, or Harness.

- Hands-on experience with container orch