Machine Learning Engineer

Job Title: Machine Learning Engineer (Remote – India)

Job Summary

We are seeking a highly motivated Machine Learning Engineer to design, build, and deploy scalable machine learning models that solve real-world problems. The ideal candidate will have a strong foundation in data science and software engineering, with the ability to translate complex data into actionable insights. This is a remote role requiring collaboration with cross-functional teams and a focus on delivering reliable, production-ready solutions.

Key Responsibilities

• Design, develop, and deploy machine learning models and algorithms
• Collect, clean, and preprocess large datasets for training and evaluation
• Evaluate model performance and optimize for accuracy, scalability, and efficiency
• Collaborate with data scientists, engineers, and product teams to integrate models into applications
• Build and maintain data pipelines and ML workflows
• Monitor models in production and retrain as necessary
• Stay current with the latest advancements in machine learning and AI technologies
• Document processes, models, and findings for knowledge sharing

Required Qualifications

• Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field
• 2–5 years of experience in machine learning, data science, or a similar role
• Strong knowledge of machine learning algorithms, statistics, and data structures
• Proficiency in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn
• Experience with data manipulation and analysis tools (Pandas, NumPy)
• Familiarity with SQL and working with large datasets
• Understanding of software development practices and version control (Git)

Preferred Qualifications

• Experience with deep learning, NLP, or computer vision
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Knowledge of MLOps, model deployment, and containerization (Docker, Kubernetes)
• Experience working in remote or distributed teams