AI/ML Developer

2 weeks ago

Bengaluru, India Weekday (YC W21) Full time

This role is for one of our clients

Industry: Technology, Information and Media

Seniority level: Mid-Senior level

Min Experience: 6 years

Location: Bengaluru

JobType: full-time

About The Role
We are looking for a passionate and skilled
AI/ML Engineer
to join our growing technology team. In this role, you will design, build, and deploy
cutting-edge machine learning models and AI-driven applications
that directly impact business outcomes. You'll collaborate with cross-functional teams, experiment with the latest advancements in AI, and bring innovative ideas to life through scalable solutions.

This is a hands-on position where you will contribute across the
entire ML lifecycle
— from data preprocessing and feature engineering to model training, deployment, and optimization on cloud platforms.

Key Responsibilities
Model Development
: Design and implement machine learning models and algorithms for real-world applications.

Prototyping
: Build Proof-of-Concept (POC) applications to validate new ideas and demonstrate business value.

Data Engineering
: Preprocess, clean, and transform datasets using tools such as
Pandas
and
NumPy
to ensure high-quality inputs for models.

Model Deployment
: Deploy, monitor, and scale ML models on
Google Cloud Platform (GCP)
, leveraging
Vertex AI
for lifecycle management.

AI Integration
: Experiment with and integrate advanced AI capabilities, including
Google Gemini
, for specialized use cases.

Collaboration
: Work closely with data engineers, product teams, and senior ML scientists to translate requirements into robust technical solutions.

Code Quality
: Write clean, maintainable, and well-documented code in
Python
.

Continuous Learning
: Stay up to date with the latest trends, tools, and research in AI/ML and bring fresh ideas into the team.

Qualifications & Skills
Education
: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Master's degree is a plus).

Experience
: 3+ years of hands-on experience in developing and deploying ML/AI solutions.

Programming
: Strong proficiency in
Python
and experience with libraries such as
TensorFlow, PyTorch, or Scikit-learn
.

ML Expertise
: Solid understanding of core ML techniques (classification, regression, clustering, deep learning, NLP, etc.).

Cloud Skills
: Prior experience working with
Google Cloud Platform (GCP)
; familiarity with
Vertex AI
preferred.

Problem-Solving
: Strong analytical and debugging skills with a structured, data-driven approach.

Collaboration
: Excellent communication and teamwork skills to thrive in cross-functional environments.

Nice-to-Have
Exposure to
large-scale data pipelines
and distributed training.

Familiarity with
MLOps practices
for CI/CD of ML models.

Prior experience integrating advanced AI/LLMs into production systems.

Contributions to
open-source ML projects
or published research.

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