Machine Learning Engineer

Job Title:

Salary:

Location:

Experience:

About Us:

We have built www.Bugflows.com

Amalaan India Pvt Ltd

We are building out SaaS solutions for our global B2B and B2C clients and customers. Each solution we provide is unique. We are a product development company (not a body shop). This means, you will always be faced with new challenges and exciting opportunities to grow your knowledge on how successful products are built in the real world.

About the Role:

Machine Learning Engineer

This role is ideal for someone who loves both the theory and practice of ML — from building models to deploying them at scale.

What You’ll Do:

• Build, train, and validate ML models for real-world applications.
• Preprocess, clean, and analyze structured/unstructured datasets.
• Work with deep learning frameworks (PyTorch / TensorFlow) and traditional ML libraries (scikit-learn).
• Collaborate with product and engineering teams to integrate models into production.
• Optimize models for speed, scalability, and reliability.
• Document workflows, experiments, and results.
• Stay updated with the latest research and tools in ML/AI.

What We’re Looking For:

• Minimum 2 years of experience in machine learning / data science.
• Strong Python skills with hands-on experience in ML libraries.
• Experience with at least one deep learning framework (PyTorch / TensorFlow).
• Understanding of data preprocessing, feature engineering, and evaluation metrics.
• Familiarity with cloud ML services (AWS/GCP/Azure) is a plus.
• Knowledge of MLOps tools (Docker, MLflow, CI/CD) is an advantage.
• Strong problem-solving skills and ability to work independently.

What We Offer:

• The latest in AI and ML tools and technologies to work with.
• An inclusive and innovative work environment.
• Opportunities for professional growth and development.
• Competitive salary and benefits package.
• Flexible working hours, remote and work-from-home options.

How to Apply:

• Apply via LinkedIn
• Send your resume and cover letter to

  Sophie@bugflows.uk

• Include links to your GitHub/Kaggle projects or ML work (preferred)