drjobs Senior Machine Learning Engineer

Senior Machine Learning Engineer

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1 Vacancy
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Job Location drjobs

Hyderabad - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

What you get to do in this role:

  1. Generate and evaluate synthetic data tailored to improve the robustness performance and safety of machine learning models particularly large language models (LLMs).
  2. Train and finetune models using curated datasets optimizing for performance reliability and scalability.
  3. Design and implement evaluation metrics to rigorously measure and monitor model quality safety and effectiveness.
  4. Conduct experiments to validate model behavior and improve generalization across diverse use cases.
  5. Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies.
  6. Participate in the development deployment and continuous improvement of endtoend AI solutions.
  7. Contribute to architectural and technology decisions related to AI infrastructure frameworks and tooling.
  8. Promote modern engineering practices including continuous integration continuous delivery and containerized workflows.

Qualifications :

Key qualifications:

  1. 5 years of experience in machine learning deep learning and AI systems.
  2. Proficiency in Python and frameworks like PyTorch TensorFlow and NumPy.
  3. Experience in synthetic data generation model training and evaluation in realworld environments.
  4. Solid understanding of LLM finetuning prompting and robustness techniques.
  5. Knowledge of AI safety principles and experience identifying and mitigating model risks.
  6. Handson experience deploying and optimizing models using platforms such as Triton Inference Server.
  7. Familiarity with CI/CD automated testing and container orchestration tools like Docker and Kubernetes.


Additional Information :

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by law. In addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. 2024 Fortune Media IP Limited. All rights reserved. Used under license. 


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

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