About Typaflow

We are a fast-growing technology company focused on building intelligent, data-driven products that solve real-world problems. Our mission is to make advanced AI accessible, reliable, and impactful across industries.

About the team

You’ll be joining a collaborative AI & Data team made up of Machine Learning Engineers, Data Scientists, and Software Engineers. The team works closely to design, train, deploy, and improve ML models used in production systems.

About the role

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models that power our core products. You’ll work on end-to-end ML pipelines—from data collection and model training to evaluation and deployment—while continuously improving model performance.

• Strong understanding of machine learning algorithms and concepts
• Experience with Python and ML libraries (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch)
• Knowledge of data preprocessing, feature engineering, and model evaluation
• Familiarity with SQL and working with large datasets
• Basic understanding of software engineering best practices
• Ability to work in a team and communicate technical ideas clearly

Interview process

The interview process begins with resume screening, followed by a technical assessment or coding task. Candidates who pass this stage will move on to a technical interview, which focuses on machine learning concepts and problem-solving skills. Finally, there is a final interview with the team or hiring manager to assess overall fit and alignment with the role.

• Stable internet connection
• Laptop or desktop with camera and microphone
• Ability to explain past projects or ML concepts clearly

Benefits

The role offers a competitive salary along with flexible working hours. Employees will have access to learning and development opportunities, gain exposure to real-world machine learning projects, and work within a supportive and collaborative work culture.

This role is open to candidates with strong foundational knowledge and a passion for machine learning. Freshers with relevant projects are encouraged to apply.