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Applied Machine Learning Engineer Job Opening In Bengaluru – Now Hiring Grizmo Labs


Job description

Hiring: Machine Learning Engineers (ML 2 / ML 3) – Bangalore


Are you passionate about building customer-facing AI solutions that make a real impact?


Do you thrive in fast-paced, product-driven environments where ownership and accountability are valued?


We are looking for ML Engineers (Level 2/3) to join our growing AI/ML team in Bangalore.

This is an exciting opportunity to work on Generative AI, personalization, and intelligent search systems that will directly shape the experience of millions of users.


🔑 Key Responsibilities


As a part of our ML team, you will:

  • Design and implement scalable ML solutions that directly align with product and business goals.
  • Develop, test, and optimize ML models for production environments with high availability and low latency.
  • Build Generative AI features such as conversational interfaces, intelligent assistants, and personalized experiences.
  • Partner with product managers, data scientists, and engineers to integrate ML into customer-facing applications.
  • Monitor and evaluate model performance post-deployment;
    iterate to improve accuracy, latency, and UX.
  • Drive best practices in experimentation, reproducibility, and deployment workflows.
  • Participate actively in code reviews, design discussions, and technical deep dives.
  • Work closely with stakeholders to translate business needs into ML-driven solutions.


🛠️ Required Skills & Experience


  • 4–8 years of applied machine learning experience with proven deployment track record.
  • Hands-on experience with Generative AI, NLP, conversational AI, or personalization systems.
  • Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face.
  • Experience deploying ML models on cloud platforms (AWS / GCP / Azure).
  • Strong knowledge of feature engineering, ML pipelines, and MLOps practices.
  • Ability to work cross-functionally and communicate complex ML concepts clearly.
  • Demonstrated impact through production-level ML solutions.


⭐ Preferred Qualifications


  • Master’s degree in Computer Science, Machine Learning, or related field.
  • Experience in fintech / financial services domains is a plus.
  • Exposure to recommendation engines, ranking, or personalization techniques.
  • Contributions to open-source ML frameworks or active participation in ML/AI communities.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Applied Machine Potential: Insight & Career Growth Guide


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12266 Jobs in India
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1222 Jobs in Bengaluru
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Are You Looking for Applied Machine Learning Engineer Job?

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

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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 Grizmo Labs 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 Applied Machine Learning 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.

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Key qualifications for Applied Machine Learning 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 Applied Machine Learning Engineer Job Success

Grizmo Labs  interview tips for Applied Machine Learning Engineer

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Other Openings

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

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Final Thought:

To prepare for your Applied Machine Learning Engineer interview at Grizmo Labs , research the company, understand the job requirements, and practice common interview questions.

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

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