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MTS - Deep/Machine Learning Software Engineer Job Opening In Bengaluru – Now Hiring Confidential


Job description

Strong technical and analytical skills in C++/Python AI development in a Linux environment.

Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort.

KEY RESPONSIBILITIES:

  • Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs
  • Optimize AI frameworks like PyTorch, TensorFlow, etc.

    on AMD GPUs in upstream open-source repositories
  • Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI
  • Work with open-source framework maintainers to understand their requirements and have your code changes integrated upstream
  • Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams
  • Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems
  • Apply your knowledge of software engineering best practices

PREFERRED EXPERIENCE:

  • Knowledge of GPU computing (HIP, CUDA, OpenCL)
  • AI model experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems
  • Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
  • Experiences to run workloads on large scale heterogeneous cluster is a plus
  • Experiences to optimize GPU kernels for performance is a plus

ACADEMIC CREDENTIALS:

  • Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field

Skills Required
Software Design, Machine Learning, C++, Linux, Debugging, Python

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your MTS Deep Potential: Insight & Career Growth Guide


Real-time MTS Deep Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for MTS Deep in Bengaluru, India, highlighting market share and opportunities for professionals in MTS Deep roles.

957 Jobs in India
957
104 Jobs in Bengaluru
104
Download Mts Deep Jobs Trends in Bengaluru and India

Are You Looking for MTS Deep/Machine Learning Software Engineer Job?

Great news! is currently hiring and seeking a MTS Deep/Machine Learning Software Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Confidential 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 MTS Deep/Machine Learning Software 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 MTS Deep/Machine Learning Software Engineer?

Key qualifications for MTS Deep/Machine Learning Software 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 MTS Deep/Machine Learning Software Engineer Job Success

Confidential interview tips for MTS   Deep/Machine Learning Software Engineer

Here are some tips to help you prepare for and ace your MTS Deep/Machine Learning Software Engineer job interview:

Before the Interview:

Research: Learn about the Confidential'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 MTS Deep/Machine Learning Software Engineer interview at Confidential, 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 Confidential'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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