Machine learning engineer

4 weeks ago

Madurai, Tamil Nadu, India Bugflows Full time

Job descriptionJob Title: Machine Learning EngineerSalary: Upto INR 25,000 per month, all-inclusive. Contract employment.Location: (Remote)Experience: Minimum 2 years in machine learning / data science.About Us:We have built www. Bugflows.com and we are Amalaan India Pvt Ltd, a 4-year-old, dynamic and forward-thinking company focused on leveraging cutting-edge technology to solve complex problems in data processing and machine learning.We are building out Saa S solutions for our global B2 B and B2 C 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: We're looking for a Machine Learning Engineer who can take models from idea to production. You'll work on datasets across different domains, experiment with modern ML techniques, and help build intelligent features into our Saa S products.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 (Py Torch / Tensor Flow) 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 (Py Torch / Tensor Flow).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 Send your resume and cover letter to links to your Git Hub/Kaggle projects or ML work (preferred)

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