Junior Machine Learning Engineer

Job Description

Job Description

Junior Machine Learning Engineer Job Title

Junior Machine Learning Engineer

Job Summary

We are looking for a passionate Junior Machine Learning Engineer to join our AI and Data Science team. This role is ideal for recent graduates or early-career professionals who are eager to build, train, and deploy machine learning models while working on real-world AI applications. You will collaborate with experienced engineers and data scientists to develop scalable machine learning solutions and contribute to the end-to-end ML lifecycle.

Key Responsibilities

• Assist in designing, developing, and deploying machine learning models for business applications.

• Collect, clean, preprocess, and analyze structured and unstructured data.

• Build and evaluate machine learning models using supervised and unsupervised learning techniques.

• Perform feature engineering, model training, hyperparameter tuning, and performance evaluation.

• Develop data pipelines and automate ML workflows.

• Support model deployment, monitoring, and performance optimization in production environments.

• Collaborate with data scientists, software engineers, and product teams to deliver AI-driven solutions.

• Document experiments, model performance, and technical implementations.

• Stay up to date with the latest machine learning tools, frameworks, and best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, Statistics, Mathematics, or a related field.

• 0 2 years of experience in machine learning, data science, or software development (internships and academic projects are welcome).

• Strong understanding of machine learning fundamentals, statistics, and data analysis.

• Proficiency in Python programming.

• Experience with machine learning libraries such as Scikit-learn, PyTorch, or TensorFlow.

• Knowledge of data structures, algorithms, and object-oriented programming.

• Familiarity with SQL and relational databases.

• Experience using Git for version control.

Preferred Qualifications

• Exposure to Natural Language Processing (NLP), Computer Vision, or Generative AI.

• Familiarity with Large Language Models (LLMs) and AI application development.

• Knowledge of data visualization tools such as Matplotlib, Seaborn, or Plotly.

• Basic understanding of cloud platforms (AWS, Azure, or Google Cloud).

• Experience with Docker and Linux.

• Academic, internship, or personal machine learning projects available on GitHub.

Technical Skills

• Python

• SQL

• Scikit-learn

• PyTorch or TensorFlow

• Pandas

• NumPy

• Matplotlib

• Seaborn

• Git

• Docker (basic)

• Linux (basic)

• Jupyter Notebook

Soft Skills

• Strong analytical and problem-solving abilities.

• Eagerness to learn and grow in machine learning and AI.

• Good communication and teamwork skills.

• Attention to detail and commitment to writing high-quality code.

• Ability to work in a collaborative and fast-paced environment.

Nice to Have

• Internship experience in machine learning or data science.

• Knowledge of MLOps concepts and model deployment.

• Familiarity with REST APIs and microservices.

• Exposure to data engineering tools and ETL pipelines.

• Participation in hackathons, coding competitions, or open-source AI projects.

Benefits

• Competitive salary and performance-based incentives.

• Mentorship from experienced machine learning professionals.

• Learning and certification opportunities.

• Flexible work arrangements.

• Access to modern AI and ML tools and technologies.

• Opportunity to work on real-world machine learning projects with cross-functional teams.