Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
Technical Experience
5+Years years of hands-on experience developing, training, and deploying machine learning models in production environments.
Proficiency in Python and major ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.
Strong experience with data manipulation and analysis using Pandas and NumPy.
Skilled in data visualization using libraries such as Matplotlib and Seaborn.
Solid understanding of supervised, unsupervised, and deep learning techniques.
Experience performing end-to-end Data Analytics , including data cleaning, trend analysis, reporting, and insight generation.
Core Data Skills
Strong capability in Exploratory Data Analysis (EDA).
Experience with feature engineering and data preprocessing.
Good grounding in statistics and mathematical concepts relevant to machine learning.
MLOps & Deployment
Familiarity with MLOps tools such as MLflow, Kubeflow, or similar platforms.
Experience working with cloud services (AWS, GCP, or Azure) for model development and deployment.
Proficiency with version control systems (Git) and CI / CD practices for ML pipelines.
Preferred Qualifications :
Exposure to NLP, Computer Vision, or Time-Series modeling.
Experience working with large-scale distributed systems or Big Data technologies like Spark or Hadoop.
Knowledge of data warehousing solutions and SQL.
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Senior Machine Learning Engineer • Anand, IN
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