Junior Machine Learning Engineer

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.