AI​/ML Engineer

Location: Bengaluru

Position: AI/ML Engineer

Location:

Bangalore - Hybrid

No of Positions: 1

Year of

Experience:

3+ Years

Strong experience in GCP and Vertex AI

Job Summary

We are looking for an experienced AI/ML Engineer with strong hands-on expertise in Google Cloud Platform (GCP) and Vertex AI to design, build, deploy, and scale machine learning models in production. The ideal candidate should have deep knowledge of end-to-end ML lifecycle, MLOps practices, and cloud-native AI solutions.

Key Responsibilities

- Design, develop, train, and deploy machine learning and deep learning models on GCP
- Build and manage end-to-end ML pipelines using Vertex AI (training, tuning, deployment, monitoring)
- Implement MLOps workflows including model versioning, CI/CD for ML, and automated retraining
- Work with large-scale structured and unstructured datasets
- Optimize model performance, scalability, and cost on cloud infrastructure
- Collaborate with data engineers, product teams, and stakeholders to translate business problems into ML solutions
- Deploy models as APIs or batch jobs using cloud-native services
- Monitor model performance, data drift, and retraining triggers in production
- Ensure best practices around security, governance, and compliance in cloud ML systems
- Document model architecture, experiments, and deployment processes

Required

Skills & Qualifications

Core AI/ML Skills

Strong experience in Machine Learning, Deep Learning, and Statistical Modeling

Solid understanding of supervised, unsupervised, and reinforcement learning

Hands-on experience with NLP, Computer Vision, or Time Series (any one or more)

GCP & Vertex AI (Must-Have)

Strong hands-on experience with Vertex AI:

Custom training & AutoML

Model registry & endpoints

Hyperparameter tuning

Pipelines (Kubeflow / Vertex Pipelines)

Experience with GCP services such as:

Big Query

Cloud Storage

Cloud Functions / Cloud Run

Pub/Sub

Experience deploying ML models in production on GCP

Programming & Frameworks

Strong proficiency in Python

Experience with ML/DL frameworks:
Tensor Flow, PyTorch, Scikit-learn

Experience with data processing libraries:
Pandas, NumPY

Good to Have

- Experience with LLMs, Generative AI, Prompt Engineering

- Experience with feature stores
- Knowledge of other cloud platforms (AWS / Azure)
- Experience working in Agile/Scrum teams
- GCP Professional ML Engineer certification

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.