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Machine Learning Solutions Engineer Job Opening In Bengaluru – Now Hiring Recro


Job description

Who You Are

You're an ML Research Engineer with 2+ years of experience who bridges the gap between

cutting-edge research and production systems.

You're passionate about training models that

perform exceptionally well not just on benchmarks but in real-world applications.

You enjoy

diving deep into model architectures, experimenting with training techniques, and building

robust evaluation frameworks that ensure model reliability in critical applications.

Responsibilities

● Train and fine-tune models for speech recognition and natural language processing in

multilingual healthcare contexts

● Develop specialized models through fine-tuning and optimization techniques for

domain-specific tasks

● Design and implement comprehensive evaluation frameworks to measure model

performance across critical metrics

● Build data pipelines for collecting, annotating, and augmenting training datasets

● Research and implement state-of-the-art techniques from academic papers to improve

model performance

● Collaborate with AI engineers to deploy optimized models into production systems

● Create synthetic data generation pipelines to address data scarcity challenges


Qualifications

Required

● 2+ years of experience in ML/DL with focus on training and fine-tuning production

models

● Deep expertise in speech recognition systems (ASR) or natural language processing

(NLP), including transformer architectures

● Proven experience with model training frameworks (PyTorch, TensorFlow) and

distributed training

● Strong understanding of evaluation metrics and ability to design domain-specific

benchmarks

● Experience with modern speech models (Whisper, Wav2Vec2, Conformer) or LLM

fine-tuning techniques (LoRA, QLoRA, full fine-tuning)

● Proficiency in handling multilingual datasets and cross-lingual transfer learning

● Track record of improving model performance through data engineering and

augmentation strategies

Nice to Have

● Published research or significant contributions to open-source ML projects

● Experience with model optimization techniques (quantization, distillation, pruning)

● Background in low-resource language modeling

● Experience building evaluation frameworks for production ML systems

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning 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 Machine Learning in Bengaluru, India, highlighting market share and opportunities for professionals in Machine Learning roles.

18636 Jobs in India
18636
1474 Jobs in Bengaluru
1474
Download Machine Learning Jobs Trends in Bengaluru and India

Are You Looking for Machine Learning Solutions Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Solutions 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 Recro 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 Machine Learning Solutions 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 Machine Learning Solutions Engineer?

Key qualifications for Machine Learning Solutions 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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To improve your chances of getting hired for Machine Learning Solutions Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Machine Learning Solutions Engineer Job Success

Recro interview tips for Machine Learning Solutions Engineer

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

Before the Interview:

Research: Learn about the Recro'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 Machine Learning Solutions Engineer interview at Recro, 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 Recro'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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