Machine Learning Engineer

2 days ago

bangalore district, India Grizmo Labs 🌐 Full time

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.

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