AI / ML Engineer

Our Hiring Process

1. Application Submission 2. Profile Screening 3. Technical Assessment 4. Interview Process 5. Offer & Onboarding

Job Overview

About the Role

We are looking for an AI/ML Engineer to design, build, and deploy machine learning and generative AI solutions for enterprise clients. You will work across the full model lifecycle — from data preparation and model development to production deployment and monitoring — partnering closely with product and engineering teams to embed AI capabilities into client-facing and internal systems.

What You'll Do

Responsibilities

Design, train, and evaluate machine learning and generative AI models for enterprise use cases.
Build data pipelines for model training, evaluation, and monitoring.
Deploy models to production using MLOps best practices and cloud AI services.
Collaborate with engineering teams to integrate AI capabilities into applications and workflows.
Evaluate and fine-tune LLMs for domain-specific enterprise applications.
Monitor model performance in production and iterate based on real-world feedback.

What We're Looking For

Requirements

3+ years of experience building and deploying machine learning or AI models in production.
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
Experience with LLMs, prompt engineering, or generative AI application development.
Familiarity with cloud AI/ML services (AWS SageMaker, Azure ML, or Google Vertex AI).
Understanding of MLOps practices, including model versioning and monitoring.
Strong problem-solving skills and ability to translate business needs into AI solutions.

What You Get

Benefits

Health Coverage

Comprehensive medical insurance for you and dependents.

Learning Stipend

Annual budget for courses and certifications.

Flexible Work

Remote-friendly schedules and hybrid options.

Career Growth

Clear promotion tracks and internal mobility.

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