Machine Learning Engineer

As a Machine Learning Engineer, you will develop, train, and deploy machine learning

models that power AI-driven products, automation workflows, and intelligent decision-

making systems. You will work hands-on across the full ML lifecycle—from data preparation

to building production-ready pipelines.

This position is ideal for someone who thrives in a dynamic environment, loves solving

complex problems, and wants to contribute directly to the growth of an innovative AI

consultancy.

Key Responsibilities

 Build, fine-tune, and evaluate models for NLP, computer vision, and structured

data tasks

 Develop data preprocessing pipelines, feature engineering workflows, and scalable

model training setups

 Collaborate closely with product and engineering teams to embed AI functionality

into customer solutions

 Deploy models using modern MLOps practices and monitor their performance in

production

 Continuously optimize and refine models based on user feedback and real-world

performance metrics

Qualifications

 2–5 years of experience as a Machine Learning Engineer or Data Scientist

 Strong proficiency in Python, along with experience in PyTorch, TensorFlow, and

Hugging Face

 Experience building and deploying applications using Docker, APIs, and data

processing frameworks

 Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a

related field

 Familiarity with cloud environments (AWS, GCP, or Azure) is a plus

Job Types: Full-time, Permanent

Work Location: In person