Job Details

Experience Needed:Not Specified

Career Level:Entry Level (Junior Level / Fresh Grad)

Education Level:Not Specified

Salary:Confidential

Job Categories:

• IT/Software Development
• Engineering - Telecom/Technology
• Engineering - Mechanical/Electrical

Skills And Tools:

Machine LearningComputer ScienceInformation Technology (IT)PythonSoftware EngineeringComputer EngineeringEngineeringSoftware DevelopmentSQLC++ProgrammingMathematicsJavaNLPStartupStatisticsMechanical EngineeringTensorflowjavaScriptComputer Vision

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Job Description

Machine Learning Engineer – Job DescriptionPosition: Machine Learning EngineerExperience: 2–5 YearsLocation: On-SiteRole OverviewBuild, train, optimize and deploy machine learning models while managing data pipelines and improving model accuracy for business applications.Core ResponsibilitiesTrain 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 & ToolsSoftware & Tools: Jira, Trello, ClickUp, Asana, Monday.comDocumentation: Confluence, Notion, Google Workspace, MS OfficeDiagramming: Draw.io, Lucidchart, Figma (flows/UI mapping)CRM (Pre-Sales): HubSpot, Zoho, Salesforce (basic use)Technical Understanding:REST/GraphQL APIs for integrationSQL basics for data extraction & reportsCloud (AWS/Azure/GCP) deployment familiarityAI/ML concepts — LLMs, predictive models, training workflowsSDLC & MLOps awarenessBasic understanding of web stack (HTML/CSS/JS)

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