Machine Learning Engineer

2 weeks ago

Delhi, 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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