Junior Machine Learning Engineer

Summary

OVA.Work is seeking a passionate Junior Machine Learning Engineer to join their AI and Data Science team. This role is ideal for recent graduates or early-career professionals eager to build, train, and deploy machine learning models while collaborating with experienced engineers and data scientists.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

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.