Note: The job is a remote job and is open to candidates in USA. 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
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.
Company Overview