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Senior Machine Learning Infrastructure Engineer Job Opening In Bengaluru – Now Hiring Informatica


Job description

Principal Machine Learning Engineer

Informatica is on a journey to leverage generative AI to simplify cloud data management.

Principal Machine Learning Engineer will be responsible for driving the overall architecture and pipelines to enable Machine Learning engineers to build, train and deploy Models at scale across multiple cloud services providers in a cloud agnostic manner.

This role is highly visible and critical to leapfrog Informatica's AI journey.

Responsibilities:

  • Design and Implement end to end AI based SaaS for enterprises
  • Drive architecture and design for AI and ML related model pipelines, and services
  • Collaborate closely with cross-functional internal teams, including stakeholders, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
  • Passion for applying state-of-the art AI algorithms to real-world problems.
  • Stay up-to-date with the latest developments in AI and related fields, evaluate new developments and technologies for potential integration into existing and future architecture
  • Responsible for providing solutions that foster ML Engineer developer productivity.
  • Lead the development and deployment of machine learning models, deep learning algorithms, and other AI/ML techniques.

    Ensure best practices for model training, testing, and validation are followed.

Requirements:

  • Solid First Principles thinking for Data and AI
  • Solid understanding and hands-on experience developing ML models ranging from regression to deep neural networks including LLMs
  • Solid understanding of data engineering principles, adapting data for AI
  • Solid understanding of AI/ML frameworks and skills to do rapid prototypes
  • Familiarity with modern techniques for Language Understanding, and other Machine Learning and AI technologies
  • Collaborate with local and global team of engineers, researchers, and product managers.
  • Masters degree in Computer Science, Electrical Engineering or related fields with focus on AI and machine learning.
  • 10+ years of industry and research experience in Artificial Intelligence and Machine Learning
  • Experience with AWS, Google or Azure is Required
  • Experience and understanding of modern ML pipelines using Kubeflow, KServe, Hugging Face, and similar toolkits is preferred.

Required Skill Profession

Computer Occupations


  • Job Details

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Are You Looking for Senior Machine Learning Infrastructure Engineer Job?

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The Work Culture

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 Informatica adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Senior Machine Learning Infrastructure Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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.

What Are the Key Qualifications for Senior Machine Learning Infrastructure Engineer?

Key qualifications for Senior Machine Learning Infrastructure Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Machine Learning Infrastructure Engineer Job Success

Informatica interview tips for Senior Machine Learning Infrastructure Engineer

Here are some tips to help you prepare for and ace your Senior Machine Learning Infrastructure Engineer job interview:

Before the Interview:

Research: Learn about the Informatica's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Machine Learning Infrastructure Engineer interview at Informatica, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Informatica's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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