Machine Learning Engineer

Analytica

United Arab Emirates · Full-time · Entry

Machine Learning Engineer – Job Description

Position: Machine Learning Engineer

Experience: 2–5 Years

Location: On-Site

Role Overview

Build, train, optimize and deploy machine learning models while managing data pipelines and improving model accuracy for business applications.

Core Responsibilities

Train ML/DL models using TensorFlow/PyTorch.
Preprocess datasets and perform model tuning.
Deploy models using Docker/FastAPI on cloud platforms.
Monitor production accuracy and retrain based on new inputs.
Research new AI approaches and improve pipeline efficiency.

Technical Skills & Tools

Software & Tools: Jira, Trello, ClickUp, Asana, Monday.com

Documentation: Confluence, Notion, Google Workspace, MS Office

Diagramming: Draw.io, Lucidchart, Figma (flows/UI mapping)

CRM (Pre-Sales): HubSpot, Zoho, Salesforce (basic use)

Technical Understanding:

REST/GraphQL APIs for integration
SQL basics for data extraction & reports
Cloud (AWS/Azure/GCP) deployment familiarity
AI/ML concepts — LLMs, predictive models, training workflows
SDLC & MLOps awareness
Basic understanding of web stack (HTML/CSS/JS)

Key Skills

Ranked by relevance

machine learning confluence salesforce hubspot trello figma cloud asana mlops jira zoho ai

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