Junior Machine Learning Engineer
About the Role:
We are looking for a Junior Machine Learning Engineer who is eager to grow and contribute to real-world ML projects. In this role, you’ll work closely with experienced engineers and data scientists to develop, test, and deploy machine learning models. This is a fantastic opportunity for someone who is enthusiastic about machine learning, enjoys hands-on learning, and is ready to take on challenges in a collaborative environment.
What You’ll Be Doing:
Supporting Model Development
- Assist in designing and building machine learning models for various applications.
- Help with data preprocessing, feature engineering, and model evaluation.
- Collaborate on developing prototypes and iterating on model performance.
Deployment and Maintenance
- Work with senior team members to deploy ML models into production environments.
- Support the creation and maintenance of automated ML pipelines.
- Monitor model performance and assist in troubleshooting issues as they arise.
Collaborating and Learning
- Participate in team meetings and contribute ideas to improve existing models and processes.
- Collaborate with cross-functional teams to understand business problems and how AI/ML can provide solutions.
- Stay updated on the latest trends in machine learning and apply new techniques under guidance.
Documentation and Best Practices
- Help document processes, experiments, and results to maintain clear records of project developments.
- Follow best practices for coding, testing, and model versioning to ensure high-quality work.
What We’re Looking For:
Technical Skills
- Knowledge of machine learning, deep learning and LLM concepts.
- Familiarity with at least one ML framework such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on knowledge of Python, and a willingness to learn more advanced tools.
Analytical and Problem-Solving Skills
- Ability to approach problems methodically and break them down into manageable tasks.
- A keen interest in experimenting with new ideas and learning from both successes and challenges.
Communication and Collaboration
- Good written and verbal communication skills, with the ability to clearly explain technical details to teammates and clients.
- A team player attitude, with a desire to work in a collaborative, supportive environment.
Learning Mindset
- Curiosity and a drive to continuously learn and grow in the field of machine learning.
- Openness to feedback and a proactive approach to expanding your skillset.
Experience Needed:
- 3+ years of experience in machine learning, data science, or a related field.
- Demonstrated real-world problem-solving capability in machine learning through various production grade projects/solutions.