Machine Learning Engineer

Job Description

We are looking for a Machine Learning Engineer to develop, test and deploy machine learning systems for our web applications, SaaS products and business solutions.

You will work on practical problems involving prediction, classification, recommendation, document processing and data analysis. The role includes working with data, developing models and making sure those models work properly inside real applications.

Key Responsibilities

• Develop and deploy machine learning models

• Prepare, clean and analyse datasets

• Build classification and prediction systems

• Work with text and document data

• Train, test and evaluate models

• Improve model performance and reliability

• Create APIs for machine learning services

• Integrate models with web and mobile applications

• Monitor model performance after deployment

• Work with backend and data engineering teams

• Document models, datasets and development processes

• Troubleshoot issues in production ML systems

Required Skills

• Strong Python knowledge

• NumPy and Pandas

• Scikit-learn

• Basic understanding of machine learning algorithms

• Data cleaning and preprocessing

• Model evaluation

• SQL

• REST APIs

• Git and GitHub

• Basic Linux knowledge

• Good understanding of statistics and programming fundamentals

Good to Have

• PyTorch or TensorFlow

• NLP

• Computer Vision

• OCR

• Recommendation systems

• Time-series analysis

• FastAPI or Flask

• Docker

• ML model deployment

• Cloud platforms

• Experience working with large datasets

Who Can Apply

Candidates with 2 to 5 years of practical Machine Learning experience can apply.

Candidates with strong Python, mathematics, machine learning projects and good understanding of model development are also encouraged to apply.

Perks & Benefits