Machine Learning
15 hours ago
Position: Machine Learning Engineer
Experience: 0-1 Years
Location: On site
Employment Type: Full-time
About the Role
We are looking for a passionate Machine Learning Engineer with hands-on experience in building, training, and deploying ML models. The ideal candidate should have strong fundamentals in ML, data pre-processing, and Python programming, along with practical experience in implementing solutions using real-world datasets.
Key Responsibilities
- Build, train, and evaluate machine learning models for classification, regression, and clustering tasks.
- Clean, preprocess, and analyze structured/unstructured datasets.
- Develop and optimize ML pipelines including feature engineering, model selection, and hyperparameter tuning.
- Implement ML algorithms using Python, Scikit-Learn, TensorFlow, or PyTorch.
- Deploy models into production using APIs, containers, or cloud services.
- Monitor model performance and retrain/update models as needed.
- Collaborate with data engineers, product teams, and stakeholders to understand business problems.
- Write clean, scalable, and well-documented code.
- Stay updated with the latest trends in AI/ML and research advancements.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field.
- Strong understanding of Supervised/Unsupervised Learning, Feature Engineering, Model Evaluation.
- Proficiency in Python and key libraries:
- NumPy
- Pandas
- Matplotlib/Seaborn
- Scikit-Learn
- Familiarity with deep learning frameworks: TensorFlow or PyTorch.
- Understanding of REST APIs, basic deployment, and model serialization (Pickle, Joblib).
- Experience with Git and version control systems.
- Knowledge of SQL and/or NoSQL databases.
- Understanding of statistics and probability.
Good to Have (Optional)
- Experience with cloud platforms: AWS, Azure, or GCP.
- Experience with MLOps, CI/CD pipelines, or tools like MLflow.
- Exposure to NLP, computer vision, or time-series models.
- Knowledge of Docker or Kubernetes.
- Participation in Kaggle competitions or open-source ML projects.
How to apply :
Share your resume on or apply direct through indeed .
Job Type: Full-time
Pay: ₹8, ₹30,000.00 per month
Work Location: In person
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