Machine Learning (ML)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.
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Job Description
Position: ML Engineer
Experience: Experience 4+ years of relevant experience
Location : WFO (3 days working) Pune – Kharadi
Employment Type: contract for 3-5 months-Can be extended basis performance and future requirements
Skills Required:
• Building and maintaining pipelines for model development, testing, deployment, and monitoring.
• Automating repetitive tasks such as model re-training, hyperparameter tuning, and data validation.
• Developing CI/CD pipelines for seamless code migration.
• Collaborating with cross-functional teams to ensure proper integration of models into production systems.
Key Skills
• 3+ years of experience in developing and deploying ML models in production.
• Strong programming skills in Python (with familiarity in Bash/Shell scripting).
• Hands-on experience with tools like Docker, Kubernetes, MLflow, or Airflow.
• Knowledge of cloud services such as AWS SageMaker or equivalent.
• Familiarity with DevOps principles and tools like Jenkins, Git, or Terraform.
• Understanding of versioning systems for data, models, and code.
• Solid understanding of MLflow, ML services, model monitoring, and enabling logging services for performance tracking
Shubham Vishwakarma
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