Machine Learning

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 [email protected] or apply direct through indeed .

Job Type: Full-time

Pay: ₹8,000.00 - ₹30,000.00 per month

Work Location: In person