ML Engineer

at KPMG

ML Engineer

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ML Engineer

at KPMG

Agency job

via Pluginlive

4 - 15 yrs

₹10L - ₹50L / yr

Pune

Skills

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.

Apply through this link for quicker response-https://forms.gle/aSyXcxVNzQptbWt9A

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

About the company

Apply through this link for quicker response-https://forms.gle/aSyXcxVNzQptbWt9A

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

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About KPMG

Founded

Type

Size

Stage

About

KPMG is a global network of professional firms providing Audit, Tax and Advisory services. We have 273,000 outstanding professionals working together to deliver value in 143 countries and territories. With a worldwide presence, KPMG continues to build on our successes thanks to clear vision, defined values and, above all, our people. Our industry focus helps KPMG firms' professionals develop a rich understanding of clients' businesses and the insight, skills and resources required to address industry-specific issues and opportunities. The independent member firms of the KPMG network are affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. Each KPMG firm is a legally distinct and separate entity and describes itself as such.

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