AI/ML Developer

This role is for one of our clientsIndustry: Technology, Information and MediaSeniority level: Mid-Senior levelMin Experience: 6 yearsLocation: BengaluruJobType: 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.