Machine Learning Engineer

Overview

We are looking for a skilled

Machine Learning Engineer

to design, build, train, and

deploy machine learning models into production environments.

The ideal candidate has

strong hands-on experience with Python-based ML frameworks, transformer models, and end-to-end ML pipelines, from data exploration to production deployment.

Key Responsibilities

Design, develop, and train machine learning models using Python

Build and fine-tune models using PyTorch and / or TensorFlow

Work extensively with Hugging Face Transformers for NLP or related ML tasks

Perform data exploration, analysis, and feature engineering using Python libraries (Pandas, NumPy, etc.)

Write and optimize SQL queries for data extraction and manipulation

Build and maintain data pipelines to support ML workflows

Deploy machine learning models to QA and Production environments

Monitor model performance and collaborate on improvements and retraining strategies

Work closely with data engineers, software engineers, and product teams

Required Qualifications

Strong experience in

Python for machine learning

Hands-on experience with

PyTorch

and / or

TensorFlow

(must-have)

Proven experience using the

Hugging Face Transformers library (must-have)

Solid understanding of data exploration and manipulation using

SQL

and

Python

Experience building end-to-end

ML pipelines

Experience deploying ML models into production and QA environments

Good understanding of ML model lifecycle and best practices

Nice to Have

Exposure to large-scale or distributed ML systems

Experience with Kubernetes (K8s) or containerized deployments

Familiarity with cloud platforms (AWS, GCP, or Azure)

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Retail

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