Machine Learning Engineer
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Summary
Machine Learning Engineer in the Delhi-NCR region who builds and optimizes ML models in Python (Scikit-learn, Pandas, NumPy) and manages their full lifecycle — preprocessing, training, evaluation, deployment, and production monitoring — collaborating with data scientists and engineers and applying MLOps practices.
We are seeking a skilled Machine Learning Engineer to join our dynamic team in the Delhi-NCR region. The ideal candidate will have a strong background in machine learning and artificial intelligence, with a focus on deploying models into production environments. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms, optimizing models, and ensuring their successful deployment.
Key Responsibilities:
- Design, develop, and implement machine learning models using Python and relevant libraries such as Scikit-learn, Pandas, and NumPy.
- Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems.
- Manage the end-to-end lifecycle of machine learning models, including data preprocessing, model training, evaluation, and deployment.
- Monitor and maintain deployed models to ensure optimal performance and accuracy.
- Stay updated with the latest advancements in machine learning and AI technologies to continuously improve our solutions.
Required Skills:
- Proficiency in Python programming language.
- Experience with machine learning frameworks and libraries, particularly Scikit-learn.
- Strong knowledge of data manipulation and analysis using Pandas and NumPy.
- Familiarity with model deployment techniques and MLOps practices.
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
If you are passionate about machine learning and eager to contribute to innovative projects, we encourage you to apply for this exciting opportunity.